diff --git a/CNN.keras b/CNN.keras index 409cf56..4c1a81a 100644 Binary files a/CNN.keras and b/CNN.keras differ diff --git a/Project.ipynb b/Project.ipynb index 12df0f8..6a1ee4e 100644 --- a/Project.ipynb +++ b/Project.ipynb @@ -39,15 +39,7 @@ }, { "cell_type": "code", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From C:\\Users\\BenjaminLoh\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "import pandas as pd\n", @@ -75,12 +67,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:00:23.218696Z", - "start_time": "2024-03-20T10:00:06.670752Z" + "end_time": "2024-03-20T11:36:21.260710Z", + "start_time": "2024-03-20T11:36:21.256027Z" } }, "id": "2aa3c6c09e8645d1", - "execution_count": 1 + "execution_count": 70 }, { "cell_type": "code", @@ -100,12 +92,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:00:30.430356Z", - "start_time": "2024-03-20T10:00:30.423Z" + "end_time": "2024-03-20T11:36:21.918674Z", + "start_time": "2024-03-20T11:36:21.913408Z" } }, "id": "7bcd7cfc8dd11cbb", - "execution_count": 2 + "execution_count": 71 }, { "cell_type": "code", @@ -127,12 +119,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:00:53.814869Z", - "start_time": "2024-03-20T10:00:53.808049Z" + "end_time": "2024-03-20T11:36:21.998580Z", + "start_time": "2024-03-20T11:36:21.993122Z" } }, "id": "9e0b1ed6f23a17cf", - "execution_count": 4 + "execution_count": 72 }, { "cell_type": "markdown", @@ -174,7 +166,7 @@ " plt.xlabel('Time (ns)')\n", " plt.ylabel('Magnitude')\n", " plt.xlim([600, max(time_los)]) # Set x-axis limits\n", - " plt.ylim([0, 2e6])\n", + " # plt.ylim([0, 2e6])\n", " plt.show()\n", "\n", " # Plot the magnitude vs time for NLOS\n", @@ -184,19 +176,19 @@ " plt.xlabel('Time (ns)')\n", " plt.ylabel('Magnitude')\n", " plt.xlim([600, max(time_los)]) # Set x-axis limits\n", - " plt.ylim([0, 2e6])\n", + " # plt.ylim([0, 2e6])\n", " plt.show()\n", " " ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:00:57.022738Z", - "start_time": "2024-03-20T10:00:57.010599Z" + "end_time": "2024-03-20T11:36:22.090025Z", + "start_time": "2024-03-20T11:36:22.080262Z" } }, "id": "308d64639b199bc7", - "execution_count": 5 + "execution_count": 73 }, { "cell_type": "code", @@ -217,12 +209,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:00.663980Z", - "start_time": "2024-03-20T10:01:00.656826Z" + "end_time": "2024-03-20T11:36:22.129821Z", + "start_time": "2024-03-20T11:36:22.125340Z" } }, "id": "80cfcfac265d9357", - "execution_count": 6 + "execution_count": 74 }, { "cell_type": "markdown", @@ -274,12 +266,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:04.396705Z", - "start_time": "2024-03-20T10:01:04.388228Z" + "end_time": "2024-03-20T11:36:22.213753Z", + "start_time": "2024-03-20T11:36:22.208758Z" } }, "id": "4afc8d71b3271351", - "execution_count": 7 + "execution_count": 75 }, { "cell_type": "code", @@ -334,12 +326,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:07.293218Z", - "start_time": "2024-03-20T10:01:07.282060Z" + "end_time": "2024-03-20T11:36:22.268611Z", + "start_time": "2024-03-20T11:36:22.260730Z" } }, "id": "22025d6c8281fc09", - "execution_count": 8 + "execution_count": 76 }, { "cell_type": "code", @@ -358,12 +350,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:13.412151Z", - "start_time": "2024-03-20T10:01:13.405477Z" + "end_time": "2024-03-20T11:36:22.354769Z", + "start_time": "2024-03-20T11:36:22.349304Z" } }, "id": "ac4db13fed3f9916", - "execution_count": 9 + "execution_count": 77 }, { "cell_type": "markdown", @@ -420,12 +412,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:15.408124Z", - "start_time": "2024-03-20T10:01:15.400949Z" + "end_time": "2024-03-20T11:36:22.466282Z", + "start_time": "2024-03-20T11:36:22.462030Z" } }, "id": "fe3089568e99a58d", - "execution_count": 10 + "execution_count": 78 }, { "cell_type": "markdown", @@ -487,12 +479,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:17.698394Z", - "start_time": "2024-03-20T10:01:17.690697Z" + "end_time": "2024-03-20T11:36:22.544990Z", + "start_time": "2024-03-20T11:36:22.541525Z" } }, "id": "670e8c2cf19126ea", - "execution_count": 11 + "execution_count": 79 }, { "cell_type": "code", @@ -613,12 +605,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:20.299732Z", - "start_time": "2024-03-20T10:01:20.284742Z" + "end_time": "2024-03-20T11:36:22.653819Z", + "start_time": "2024-03-20T11:36:22.643573Z" } }, "id": "685463c2d6065b08", - "execution_count": 12 + "execution_count": 80 }, { "cell_type": "code", @@ -627,99 +619,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Pickle file not found. Loading and cleaning data...\n", - "Original data shape: (42000, 1031)\n" + "Loading data from pickle file...\n" ] }, - { - "data": { - "text/plain": "
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- }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Starting data cleaning process...\n", - "Total number of missing values: 0\n", - "Missing values dropped.\n", - "Duplicate rows dropped.\n", - "'NLOS' column converted to integer data type.\n", - "Line where CIR_PWR is 0: NLOS RANGE FP_IDX FP_AMP1 FP_AMP2 FP_AMP3 STDEV_NOISE CIR_PWR \\\n", - "4343 1 7.02 757.0 30.0 214.0 413.0 36.0 0.0 \n", - "837 1 4.88 739.0 112.0 323.0 227.0 40.0 0.0 \n", - "1356 1 6.33 747.0 293.0 311.0 187.0 28.0 0.0 \n", - "\n", - " MAX_NOISE RXPACC ... CIR1006 CIR1007 CIR1008 CIR1009 CIR1010 \\\n", - "4343 412.0 192.0 ... 252.0 271.0 190.0 292.0 271.0 \n", - "837 322.0 128.0 ... 161.0 219.0 295.0 242.0 279.0 \n", - "1356 310.0 160.0 ... 197.0 84.0 246.0 353.0 196.0 \n", - "\n", - " CIR1011 CIR1012 CIR1013 CIR1014 CIR1015 \n", - "4343 239.0 210.0 260.0 223.0 256.0 \n", - "837 67.0 153.0 177.0 159.0 0.0 \n", - "1356 38.0 228.0 42.0 173.0 0.0 \n", - "\n", - "[3 rows x 1031 columns]\n", - "New feature 'RX_Level' created.\n", - "New feature 'First_Path_Power_Level' calculated.\n", - "New feature 'SNR' created.\n" - ] - }, - { - "data": { - "text/plain": "
", - "image/png": 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F3JJWlSpVcmz76KOPtHz5cl2+fFm1a9dWmzZt5OLiomvXrpntl9unZJUrV86zv8XtT1Hl9Vzk589x9+nTR7dv39batWu1dOlS09C5N998M89lUIpi4MCBGjhwoCTJYDCoSpUq8vLyyjERyxdffKF3331X58+fl6urq1q2bFnoP2guLi5mtx0cHIq91MMf3wQ5OjrK3d3d7PV07do1GY3GXIcY1a5d2/Ta6dChg5ydnbV3717Vrl1bjo6O6t69u+655x4dPHhQVapUUWJiorp16ybpzrVUCQkJeX4TlZCQYErYRX3tFVb2JCh5TTxz6dIlSXe+xfDw8NBXX30lb29vffXVVwoMDDR9sl2YvhQnWV25ciXXiUxy+x0qzjl64okn9M033+jdd981PS9FVb9+fe3Zs0dpaWk5XpfZsq8hy561OJuDg4Pat2+v9u3bS7rT34ULF2rdunXauHGjnn322WLFBPwRefx/yOOFQx4nj/+Zrebx3JCX80bhXY517txZnTt3Vlpamvbv36/Vq1drxowZ8vHxkbe3d479a9SoYZrc4I+yt9WsWVMeHh5KSUnR7du3zZJ2UlJSgfF8+eWXeueddzRmzBgFBweblvz429/+pmPHjhW3m3kqTH+spV+/furXr5+uXbum3bt364MPPtCYMWPk7+8vDw+PEt13nTp1CnxjcfjwYY0bN06DBw/W0KFDTY85d+7cYn/iXVwFxVqtWjUZDAYlJibmaEtISDANkXJxcVFgYKDpU+N27dqpYsWKCgoK0sGDB1WhQgU1bNhQjRo1Mt3vPffco/nz5+f6uGWxBEf16tUlSfPnz9c999yToz07MTo4OOiRRx7R1q1b9corr2jPnj1mwyIL05fczl9BatSood9++y3H9tL8HZoxY4ZpyPmfE3BhdO/eXWvXrtWOHTv0yCOP5LrPN998Y9pXkl577TVdvnw5x1JMNWrU0OTJk7Vt2zadOnWqyLEApY08Th7PC3mcPF4YZZHH/4y8nDcmVyun5syZo/79+8toNMrFxUXdunXTuHHjJEnnzp2TpByfdrdv314//vij2QyU0p1PVN3d3dWwYUMFBgbq5s2b+v77703tRqNRO3bsKDCmyMhIVa9eXS+99JIpWV+/fl2RkZEFTmxSHIXpjzW89tprpmt6qlWrpt69e2v48OG6efOm6ZPRPz83pe3HH3/U7du3NXLkSFOyvnXrlunaquznw9JxFEblypXVpk0bff3116YZQqU7n6D/+9//lr+/v2lb165ddeDAAR0+fFhBQUGS7gwJjIqK0o4dO8y+VQ0MDNT58+fl5uamtm3bmn727NmjFStWlMm1RD4+PnJ0dNTFixfNYqhYsaLeffdds5lwH3vsMV24cEHh4eGqUKGC6dpMS/alffv2Onv2rH788Uez7V988YUcHR1zfeNfVPXq1dO4ceN08ODBHDMvF0anTp3k7++vOXPmmD5B/6Njx45pxYoV6tOnj+lNUcOGDbV//35FRUXl2P/SpUu6ceOGmjVrVuRYgNJEHieP54c8Th4vjLLI439GXs4b33iXU/fdd58++ugjjR8/Xo8++qiysrK0YsUKubq66r777pN051O6H3/8Ufv27VOrVq304osv6osvvtALL7yg0NBQubq6asuWLdq/f79mzZplGv7RqVMnTZw4UYmJifL09NTGjRt18uTJAq9t8vb21rp16/TOO++oW7duunTpklauXKnExETTUKDSVJj+WMN9992nt99+W3PmzNEDDzygq1evasmSJbrnnnvUokULSXeem+PHj+vgwYPy9vYu9Wtasv/QTps2Tf3799eVK1f06aef6sSJE5LuTL5StWpVVa9eXYmJifrhhx8sdn1UYYwePVpDhw5VSEiIBg0apKysLEVERCgzM9P05ke6M+nO9OnTdenSJdNSGIGBgcrIyNBPP/1kNmlIcHCw1qxZoxdffFGvvPKKaTbVDz74QM8++2yprZEaFRWV4xNc6c43WY0bN9ZLL72k9957T6mpqQoKCtLFixf13nvvyWAwmF4PktSsWTPT9ZW9e/c2G8Zpqb4EBwdr7dq1GjFihEaNGiUvLy99//332rRpk0JDQ02f9JfUwIED9c0332jPnj253mdu56969eoKDg6Wg4ODFixYoJCQEA0YMEDPPfec2rVrp9u3b2vv3r369NNP1apVK02dOtV07JAhQ7Rjxw69+OKLGjRokIKCguTi4qL//Oc/+vDDD9W0aVMFBweXSt+A4iKPk8fzQx4njxeGpfI4ebl4KLzLqS5dumj+/Pn68MMPFRoaKoPBIH9/f61evdo0pOeZZ57RTz/9pJdfflmzZ8/WI488onXr1mnBggWaMWOGsrKy1KJFCy1dulQPPvig6b4XLlyod955RwsWLNDNmzf14IMP6umnn9aWLVvyjemvf/2r4uPjtWnTJq1du1YeHh7q0qWLBg0apEmTJik2NlaNGzcutXPg7u5eqP6UtaeeekpZWVn67LPPtHbtWlWqVEkdOnTQmDFjTH9YhwwZolmzZmno0KH66KOPckyCUlJBQUGaPHmyPvroI33zzTeqXbu2goKCtGTJEo0YMUKRkZHq0qWLgoOD9cMPP5j+YJfGtWvF0aFDB3300UdatGiR3njjDTk5OSkgIEBz5sxR06ZNTfs1aNBAjRs31vnz501riNauXVtNmjTRxYsXzc5j5cqV9emnn2rBggWaN2+erl27pvr162v06NGmiVtKw+7du7V79+4c22vWrKnGjRvrtddek7u7u9auXasVK1aoRo0a6tChg9544w2zSYikO5+Wv/POO6bJWCzdFxcXF33yySdasGCB6U1Fo0aNNHPmzBItNZKb7CHnuZk9e3aObX/5y19MSbhevXpav3691q1bp61bt2rlypWqUKGCGjdurPHjx+uJJ54w+7agRo0aWr9+vT744AN9//33WrdunbKyslS/fn3169dPISEhdj+BC+wfeZw8nh/yOHm8MCyVx8nLxWMwFncmBdyVzp49q6ioKD344INmvwCjRo1SXFycNm/ebMXoAABAfsjjAGAdfOONInFwcND48eP14IMPasCAAapQoYJ27dqlb7/9NtdPv1Byt27dKnCmUYPBYBPrGxqNRrPrt/JSoUKFUlt2pazZ0/MBAH9GHi979pQ3yON32MrzgfKFb7xRZPv371d4eLh++eUX3bx5U40bN9aLL76Y5zBRlMzgwYN18ODBfPepX7++2UQ51nLgwIFCrcc8e/Zsu71Wx56eDwDIDXm8bNlT3iCP32ErzwfKFwpvwMadPn1a169fz3cfJycnNW/evIwiyltqaqp+/fXXAvfz8vKy6jIwJWFPzwcAwPrsKW+Qx++wlecD5QuFNwAAAAAAFmT9xf0AAAAAACjHKLwBAAAAALAgCm8AAAAAACyIwhsAAAAAAAtiHe98JCVdk61MPWcwSG5u1WwqpqIgfuuy9/gl++8D8VuXvcWfHS8Kz9aeW3t7zRUFfbNP5blvUvnuH32zXUXJ1xTe+TAaZXMvAFuMqSiI37rsPX7J/vtA/NZl7/Ejb7b63NpqXKWBvtmn8tw3qXz3j77ZN4aaAwAAAABgQRTeAAAAAABYEIU3AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBFN4AAAAAAFgQhTcAAAAAABZE4Q0AAAAAgAVReAMAAAAAYEEU3gAAAAAAWBCFNwAAAAAAFkThDQAAAACABVF4AwAAAABgQRTeAAAAAABYEIU3AAAAAAAWROENAAAAAIAFVbR2AABKJj4+TsnJSQXuV7NmFaWkXJck1arlJi+vBpYODQAAACiSwr63zWYv72spvAE7Fh8fpw4dA5SRnlak45wruWjf3sN28UcKAAAAd4fivLe1l/e1FN6AHUtOTlJGeprc+o2Wo1vh/thkJcUpaesCJScn2fwfKAAAANw9ivre1p7e11J4A+WAo1sDOddtYu0wAAAAgBIrj+9tmVwNAAAAAAALovAGAAAAAMCCKLwBAAAAALAgrvEG7lIxMScLva+9LNMAAAAA2CIKb+Aucys1RTIY9OqrLxf6GHtZpgEAAACwRRTewF3mdkaqZDSWy2UaAAAAAFtE4Q3cpcrjMg0AAACALWJyNQAAAAAALIjCGwAAAAAAC6LwBgAAAADAgii8AQAAAACwIJsovDMzM9WvXz8dOHDAtC0qKkpPPfWU/Pz81LNnT23YsMHsmL1796pfv37y8fHRc889p7i4OLP2VatWqXPnzvLz89OECROUlpZWJn0BAAAAAOCPrF54Z2Rk6I033lBMTIxpW0JCgl5++WUFBgZq8+bNGjVqlKZPn65///vfkqRz585pxIgRCg4O1saNG1WrVi0NHz5cRqNRkrR9+3YtWbJE06ZN08cff6zo6GjNmzfPGt0DAAAAANzlrFp4nzp1SgMHDtTvv/9utn3Hjh2qXbu23njjDd1zzz3q27evHn/8cX355ZeSpA0bNqhNmzYaMmSImjZtqtmzZ+vs2bM6ePCgJGn16tV6/vnn1a1bN3l7e2vq1KnatGkT33oDAAAAAMqcVQvvgwcPKigoSOvXrzfb3rlzZ82ePTvH/qmpqZKk6OhoBQQEmLa7uLiodevWioqK0q1bt3Ts2DGzdl9fX2VlZenEiRMW6gkAAAAAALmraM0HHzRoUK7bvby85OXlZbqdlJSkr776SiNHjpR0Zyh6nTp1zI5xc3PThQsXdPXqVWVkZJi1V6xYUa6urrpw4YIFegGUnvj4OCUnJxV6/5iYkxaMBgAAAEBpsGrhXRjp6ekaOXKkateurSeffFKSlJaWJicnJ7P9nJyclJmZqfT0dNPt3NqLwmAoQeClLDsWW4qpKIi/YPHxcerQMUAZ6bZ7SYQ1nz9eQ9ZF/GXLXuIEAACFY9OF9/Xr1zV8+HCdOXNGa9eulYuLiyTJ2dk5RxGdmZmp6tWry9nZ2XT7z+3ZxxeWm1u1EkRvGbYYU1EQf95+/z1dGelpcus3Wo5uDQp1TNrpw7qya43FYvqjmjWrqHZt6z9/vIasi/gBAACKzmYL79TUVL300kv6/fff9fHHH+uee+4xtXl4eCgxMdFs/8TERLVs2VKurq5ydnZWYmKiGjduLEm6efOmLl++LHd39yLFkJR0Tf+dKN3qDIY7bxhtKaaiIP6CpaRclyQ5ujWQc90mhTomKymu4J1KSUrKdSUmXiuzx/szXkPWRfxlKzteAABQPthk4X379m2FhoYqPj5en3zyiamAzubj46PIyEjT7bS0NB0/flyhoaFycHBQ27ZtFRkZqaCgIEl31gSvWLGiWrRoUaQ4jEbZ3Bs0W4ypKIjfvtlC3+39OSB+67L3+AEAgH2y+jreudm4caMOHDigGTNmqHr16kpISFBCQoIuX74sSerfv7+OHDmiiIgIxcTEKCwsTF5eXqZCe9CgQVq5cqV27Niho0ePasqUKRo4cGCRh5oDAAAAAFBSNvmN9/bt23X79m0NGzbMbHtgYKA++eQTeXl5afHixZo1a5bCw8Pl5+en8PBwGf47G03fvn119uxZTZ48WZmZmXr44Yc1ZswYa3QFAAAAAHCXs5nC++TJ/y2LtHLlygL379Kli7p06ZJne0hIiEJCQkolNgAAAAAAissmh5oDAAAAAFBeUHgDAAAAAGBBFN4AAAAAAFgQhTcAACjQb7/9pqFDh8rPz09du3bVihUrTG1xcXF64YUX5Ovrqz59+mj37t1mx+7du1f9+vWTj4+PnnvuOcXFxZm1r1q1Sp07d5afn58mTJigtLS0MukTAABlhcIbAADk6/bt2woJCVHNmjW1efNmTZ06VcuWLdOXX34po9GoESNGqHbt2tq0aZMee+wxhYaG6ty5c5Kkc+fOacSIEQoODtbGjRtVq1YtDR8+XMb/Lqi+fft2LVmyRNOmTdPHH3+s6OhozZs3z5rdBQCg1FF4AwCAfCUmJqply5aaMmWK7rnnHnXp0kUdOnRQZGSk9u/fr7i4OE2bNk2NGzfWsGHD5Ovrq02bNkmSNmzYoDZt2mjIkCFq2rSpZs+erbNnz+rgwYOSpNWrV+v5559Xt27d5O3tralTp2rTpk186w0AKFcovAEAQL7q1Kmjv//976pataqMRqMiIyN16NAhBQYGKjo6Wq1atVLlypVN+/v7+ysqKkqSFB0drYCAAFObi4uLWrduraioKN26dUvHjh0za/f19VVWVpZOnDhRZv0DAMDSbGYdbwAAYPu6d++uc+fOqVu3burZs6dmzZqlOnXqmO3j5uamCxcuSJISEhLybL969aoyMjLM2itWrChXV1fT8YVlMBSzQxaSHY+txVUa6Jt9Ks99k8p3/+hb0e6rLBXlMSm8AQBAoS1atEiJiYmaMmWKZs+erbS0NDk5OZnt4+TkpMzMTEnKtz09Pd10O6/jC8vNrVpRu1ImbDWu0kDf7FN57ptUvvt3N/StZs0qxTq+Zs0qql3bts8PhTcAACi0tm3bSpIyMjL05ptvqn///jmux87MzFSlSpUkSc7OzjmK6MzMTFWvXl3Ozs6m239ud3FxKVJcSUnX9N/52myCwXDnjaStxVUa6Jt9Ks99k8p3/+6mvqWkXC/W/aSkXFdi4rVSjq5g2fEXBoU3AADIV2JioqKiotSjRw/TtiZNmigrK0vu7u46ffp0jv2zh497eHgoMTExR3vLli3l6uoqZ2dnJSYmqnHjxpKkmzdv6vLly3J3dy9SjEajbPINqa3GVRrom30qz32Tynf/6FvB92HLmFwNAADkKz4+XqGhobp48aJp208//aRatWrJ399fP//8s2nYuCRFRkbKx8dHkuTj46PIyEhTW1pamo4fPy4fHx85ODiobdu2Zu1RUVGqWLGiWrRoUQY9AwCgbPCNN2BB8fFxSk5OKtS+MTEnLRwNABRP27Zt1bp1a02YMEFhYWE6e/as5s2bp1deeUWBgYGqV6+ewsLCNHz4cP3rX//S0aNHNXv2bElS//79tXLlSkVERKhbt24KDw+Xl5eXgoKCJEmDBg3S5MmT1axZM9WpU0dTpkzRwIEDizzUHAAAW0bhDVhIfHycOnQMUEY6a9ECsG8VKlTQ0qVLNX36dD355JNycXHR4MGD9dxzz8lgMGjp0qWaOHGigoOD1bBhQ4WHh8vT01OS5OXlpcWLF2vWrFkKDw+Xn5+fwsPDZfjvVLB9+/bV2bNnNXnyZGVmZurhhx/WmDFjrNldAABKHYU3YCHJyUnKSE+TW7/RcnRrUOD+aacP68quNWUQGQAUnYeHh5YsWZJrW8OGDbVmTd5/v7p06aIuXbrk2R4SEqKQkJASxwgAgK2i8AYszNGtgZzrNilwv6ykuDKIpviKOhS+Vi03eXkV/IEDAAAAUN5ReAPI163UFMlg0Kuvvlyk45wruWjf3sMU3wAAALjrUXgDyNftjFTJaCz0kHnpzrf3SVsXKDk5icIbAAAAdz0KbwCFUtgh8wAAAADMUXgDsBiuCwcAAAAovAFYANeFAwAAAP9D4Q2g1HFdOAAAAPA/FN4ALIbrwgEAAADJwdoBAAAAAABQnlF4AwAAAABgQRTeAAAAAABYEIU3AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBFN4AAAAAAFgQhTcAAAAAABZE4Q0AAAAAgAVReAMAAAAAYEEU3gAAAAAAWBCFNwAAAAAAFlTR2gEAwB/FxJzMs61mzSpKSbluul2rlpu8vBqURVgAAABAsVF4A7AJt1JTJINBr776cqGPca7kon17D1N8AwAAwKZReAOwCbczUiWjUW79RsvRreBCOispTklbFyg5OYnCGwAAADaNwhuATXF0ayDnuk2sHQYAAABQaphcDQAAAAAAC6LwBgAAAADAgii8AQAAAACwIApvAAAAAAAsiMIbAAAAAAALovAGAAAAAMCCWE4MKKTff/9dMTG/FXr/mJiTFowGAAAAgL2g8AYKIT4+Th06tld62g1rhwIAAADAzlB4A4WQlJSk9LQbcus3Wo5uDQp1TNrpw7qya42FIwMAAABg6yi8gSJwdGsg57pNCrVvVlKchaMBAAAAYA9sYnK1zMxM9evXTwcOHDBti4uL0wsvvCBfX1/16dNHu3fvNjtm79696tevn3x8fPTcc88pLs68yFm1apU6d+4sPz8/TZgwQWlpaWXSFwAAAAAA/sjqhXdGRobeeOMNxcTEmLYZjUaNGDFCtWvX1qZNm/TYY48pNDRU586dkySdO3dOI0aMUHBwsDZu3KhatWpp+PDhMhqNkqTt27dryZIlmjZtmj7++GNFR0dr3rx5VukfAAAAAODuZtXC+9SpUxo4cKB+//13s+379+9XXFycpk2bpsaNG2vYsGHy9fXVpk2bJEkbNmxQmzZtNGTIEDVt2lSzZ8/W2bNndfDgQUnS6tWr9fzzz6tbt27y9vbW1KlTtWnTJr71BgAAAACUOasW3gcPHlRQUJDWr19vtj06OlqtWrVS5cqVTdv8/f0VFRVlag8ICDC1ubi4qHXr1oqKitKtW7d07Ngxs3ZfX19lZWXpxIkTlu0QAAAAAAB/YtXJ1QYNGpTr9oSEBNWpU8dsm5ubmy5cuFBg+9WrV5WRkWHWXrFiRbm6upqOB1B+FHW99Fq13OTlVbiZ6QEAAIDSYJOzmqelpcnJyclsm5OTkzIzMwtsT09PN93O6/jCMhiKGrnlZMdiSzEVRXmJH7bjVmqKZDDo1VdfLtJxzpVctH/f4TIvvsvL7wDxlw17iRMAABSOTRbezs7Ounz5stm2zMxMVapUydT+5yI6MzNT1atXl7Ozs+n2n9tdXFyKFIebW7UiRm55thhTUdhr/K6uVawdAv7kdkaqZDQWaW31rKQ4JW1doNu301W7tnVei/b6O5CN+AEAAIrOJgtvDw8PnTp1ymxbYmKiafi4h4eHEhMTc7S3bNlSrq6ucnZ2VmJioho3bixJunnzpi5fvix3d/cixZGUdE3/nSjd6gyGO28YbSmmorD3+C9fvm7tEJCHoqytni0l5boSE69ZKKLc2fvvAPGXrex4AQBA+WCThbePj48iIiKUnp5u+pY7MjJS/v7+pvbIyEjT/mlpaTp+/LhCQ0Pl4OCgtm3bKjIyUkFBQZKkqKgoVaxYUS1atChSHEajbO4Nmi3GVBT2Gr89xoz8Wes5tdffgWzEDwAAUHRWX8c7N4GBgapXr57CwsIUExOjiIgIHT16VAMGDJAk9e/fX0eOHFFERIRiYmIUFhYmLy8vU6E9aNAgrVy5Ujt27NDRo0c1ZcoUDRw4sMhDzQEAAAAAKCmbLLwrVKigpUuXKiEhQcHBwfriiy8UHh4uT09PSZKXl5cWL16sTZs2acCAAbp8+bLCw8Nl+O9sNH379tWwYcM0efJkDRkyRN7e3hozZow1uwQAAAAAuEvZzFDzkyfNlwRq2LCh1qxZk+f+Xbp0UZcuXfJsDwkJUUhISKnFBwAAAABAcdjkN94AAMC2XLx4UaNGjVJgYKA6d+6s2bNnKyMjQ5I0Y8YMNW/e3Oznjx+eb926VT169JCPj49GjBih5ORkU5vRaNT8+fN13333KTAwUHPnztXt27fLvH8AAFiSzXzjDQAAbJPRaNSoUaNUvXp1ffrpp7py5YomTJggBwcHjRs3TrGxsRo9erT++te/mo6pWrWqJOno0aOaOHGipk6dqhYtWmjmzJkKCwvT+++/L0n66KOPtHXrVi1ZskQ3b97UmDFj5ObmpqFDh1qlrwAAWALfeAMAgHydPn1aUVFRmj17tpo2baqAgACNGjVKW7dulSTFxsaqVatWcnd3N/1kT2i6Zs0a9e7dW48//rhatGihuXPn6ocfflBcXJwkafXq1Ro1apQCAgJ033336c0339Snn35qtb4CAGAJfOMNAADy5e7urhUrVqh27dpm21NTU5WamqqLFy/qnnvuyfXY6Ohovfzyy6bb9erVk6enp6Kjo+Xk5KTz58+rffv2pnZ/f3+dPXtWly5dUp06dSzSHwBA2YiPj1NyclK++9SsWUUpKdclSTExJ/Pd155ReAMAgHxVr15dnTt3Nt2+ffu21qxZo/vuu0+xsbEyGAxavny5/u///k+urq568cUXTcPOcyug3dzcdOHCBSUkJEiSWXt2cX/hwgUKbwCwY/HxcerQMUAZ6WnWDsUmUHgDAIAimTdvno4fP66NGzfq559/lsFgUKNGjfTss8/q0KFDmjRpkqpWraqHHnpI6enpcnJyMjveyclJmZmZSk9PN93+Y5skZWZmFimm/64oajOy47G1uEoDfbNP5blvUvnun732LTk5SRnpaXLrN1qObg0KdUza6cO6sivvla3yY43zU5THpPAGAACFNm/ePH388cdauHChmjVrpqZNm6pbt25ydXWVJLVo0UJnzpzRunXr9NBDD8nZ2TlHEZ2ZmSkXFxezItvZ2dn0f0mma8QLy82tWgl7Zhm2GldpoG/2qTz3TSrf/bO3vtWsWUWS5OjWQM51mxTqmKykuGI/Vu3atn1+KLwBAEChTJ8+XevWrdO8efPUs2dPSZLBYDAV3dkaNWqk/fv3S5I8PDyUmJho1p6YmCh3d3d5eHhIkhISEuTl5WX6v3TnuvKiSEq6JqOxyF2yGIPhzptkW4urNNA3+1Se+yaV7/7Za9+yr9suq8dKTLxWZo+XLfu5KQwKbwAAUKAlS5bos88+07vvvqtevXqZtr/33nv68ccftWrVKtO2EydOqFGjRpIkHx8fRUZGKjg4WJJ0/vx5nT9/Xj4+PvLw8JCnp6ciIyNNhXdkZKQ8PT2LfH230SibfENqq3GVBvpmn8pz36Ty3b/y3LfSYOvnhsIbAADkKzY2VkuXLlVISIj8/f1N30pLUrdu3RQREaGVK1fqoYce0u7du7VlyxatXr1akvT0009r8ODB8vX1Vdu2bTVz5kx17dpVDRo0MLXPnz9fdevWlSQtWLBAQ4YMKftOAgBgQRTeAAAgXzt37tStW7e0bNkyLVu2zKzt5MmTeu+997Ro0SK99957ql+/vhYsWCA/Pz9Jkp+fn6ZNm6ZFixbpypUr6tSpk6ZPn246fujQoUpKSlJoaKgqVKigAQMG6IUXXijL7gEAYHEU3gAAIF8hISEKCQnJs71Hjx7q0aNHnu3BwcGmoeZ/VqFCBYWFhSksLKzEcQIAYKscrB0AAAAAAADlGYU3AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBFN4AAAAAAFgQhTcAAAAAABZE4Q0AAAAAgAVReAMAAAAAYEEU3gAAAAAAWFBFawcAWEN8fJySk5MKvX9MzEkLRgMAAACgPKPwxl0nPj5OHToGKCM9zdqhAAAAALgLUHjjrpOcnKSM9DS59RstR7cGhTom7fRhXdm1xsKRAQAAACiPKLxx13J0ayDnuk0KtW9WUpyFowEAAABQXjG5GgAAAAAAFkThDQAAAACABVF4AwAAAABgQRTeAAAAAABYEIU3AAAAAAAWxKzmAO46MTEnC71vrVpu8vIq3LJzAAAAQG4ovAHcNW6lpkgGg1599eVCH+NcyUX79h6m+AYAAECxUXgDuGvczkiVjEa59RstR7eCC+mspDglbV2g5OQkCm8AAAAUG4U3gLuOo1sDOddtYu0wAAAAcJdgcjUAAAAAACyIwhsAAAAAAAui8AYAAAAAwIIovAEAAAAAsCAKbwAAAAAALIjCGwAAAAAAC6LwBgAAAADAgii8AQAAAACwIApvAAAAAAAsiMIbAAAAAAALovAGAAAAAMCCKLwBAAAAALAgCm8AAAAAACyIwhsAAAAAAAui8AYAAAAAwIJsuvA+f/68hg0bpnbt2ql79+5atWqVqe348eN64okn5OPjo/79++unn34yO3br1q3q0aOHfHx8NGLECCUnJ5dx9AAAAAAA2Hjh/dprr6ly5cr6/PPPNWHCBP3973/Xd999pxs3bigkJEQBAQH6/PPP5efnp2HDhunGjRuSpKNHj2rixIkKDQ3V+vXrdfXqVYWFhVm5NwAAAACAu5HNFt5XrlxRVFSUXn31Vd1zzz3q0aOHOnfurH379mnbtm1ydnbW2LFj1bhxY02cOFFVqlTRN998I0las2aNevfurccff1wtWrTQ3Llz9cMPPyguLs7KvQIAAAAA3G1stvCuVKmSXFxc9PnnnysrK0unT5/WkSNH1LJlS0VHR8vf318Gg0GSZDAY1K5dO0VFRUmSoqOjFRAQYLqvevXqydPTU9HR0dboCgAAAADgLmazhbezs7MmT56s9evXy8fHR71799YDDzygJ554QgkJCapTp47Z/m5ubrpw4YIk6dKlS/m2AwAAAABQVipaO4D8xMbGqlu3bnrxxRcVExOj6dOnq0OHDkpLS5OTk5PZvk5OTsrMzJQkpaen59teWP/9Qt0mZMdiSzEVhb3HD5T0tWvvvwPEX7bsJU4AAFA4Nlt479u3Txs3btQPP/ygSpUqqW3btrp48aKWLVumBg0a5CiiMzMzValSJUl3vi3Prd3FxaVIMbi5VStZJyzAFmMqCluIv2bNKtYOAXamZs0qql27dF67tvA7UBLEDwAAUHQ2W3j/9NNPatiwoamYlqRWrVpp+fLlCggIUGJiotn+iYmJpuHlHh4euba7u7sXKYakpGsyGovZgVJmMNx5w2hLMRWFLcWfknLdugHA7qSkXFdi4rUS3Yct/Q4UB/GXrex4AQBA+WCz13jXqVNHv/32m9k316dPn5aXl5d8fHz0448/yvjfd09Go1FHjhyRj4+PJMnHx0eRkZGm486fP6/z58+b2gvLaLStH1uMyR7jB4qjPP0OEL99/AAAgPLDZgvv7t27y9HRUW+99ZZ+/fVXff/991q+fLkGDx6sXr166erVq5o5c6ZOnTqlmTNnKi0tTb1795YkPf300/rnP/+pDRs26MSJExo7dqy6du2qBg0aWLlXAAAAAIC7jc0W3tWqVdOqVauUkJCgAQMGaPbs2Xr11Vf15JNPqmrVqnr//fcVGRmp4OBgRUdHKyIiQpUrV5Yk+fn5adq0aQoPD9fTTz+tGjVqaPbs2VbuEQAA9unixYsaNWqUAgMD1blzZ82ePVsZGRmSpLi4OL3wwgvy9fVVnz59tHv3brNj9+7dq379+snHx0fPPfec4uLizNpXrVqlzp07y8/PTxMmTFBaWlqZ9QsAgLJis9d4S1KTJk300Ucf5drm7e2tzZs353lscHCwgoODLRUabEx8fJySk5MKtW9MzEkLRwMA5YfRaNSoUaNUvXp1ffrpp7py5YomTJggBwcHjR07ViNGjFCzZs20adMm7dixQ6Ghodq2bZs8PT117tw5jRgxQiNHjlTnzp0VHh6u4cOH64svvpDBYND27du1ZMkSzZs3T25ubgoLC9O8efM0efJka3cbAIBSZdOFN1AY8fFx6tAxQBnpfEsCAKXt9OnTioqK0p49e1S7dm1J0qhRozRnzhw98MADiouL02effabKlSurcePG2rdvnzZt2qSRI0dqw4YNatOmjYYMGSJJmj17tjp16qSDBw8qKChIq1ev1vPPP69u3bpJkqZOnaqhQ4dqzJgxRV6JBAAAW0bhDbuXnJykjPQ0ufUbLUe3gq/jTzt9WFd2rSmDyADA/rm7u2vFihWmojtbamqqoqOj1apVK9OlXpLk7++vqKgoSVJ0dLQCAgJMbS4uLmrdurWioqIUEBCgY8eOKTQ01NTu6+urrKwsnThxQn5+fpbtGAAAZYjCG+WGo1sDOddtUuB+WUlxBe4DALijevXq6ty5s+n27du3tWbNGt13331KSEgwLeWZzc3NTRcuXJCkfNuvXr2qjIwMs/aKFSvK1dXVdDwAAOUFhTcAACi0efPm6fjx49q4caNWrVolJycns3YnJyfTUqBpaWl5tqenp5tu53V8URgMRT7EorLjsbW4SgN9s0/luW9S+e5fee5babLG+SnKY1J4AwCAQpk3b54+/vhjLVy4UM2aNZOzs7MuX75stk9mZqYqVaokSXJ2ds5RRGdmZqp69epydnY23f5ze3Gu73Zzq1bkY8qCrcZVGuibfSrPfZPKd//srW81a1Yp08eqXdu2z0+xCu/9+/crKChIBj52AQDAppVWzp4+fbrWrVunefPmqWfPnpIkDw8PnTp1ymy/xMRE0/BxDw8PJSYm5mhv2bKlXF1d5ezsrMTERDVu3FiSdPPmTV2+fFnu7u5Fji8p6ZqMxuL0zDIMhjtvkm0trtJA3+xTee6bVL77Z6m+xcfHKSmpcKsCSXcuFfLyKng+pWwpKdeLE1axpKRcV2LitTJ7vGzZz01hFKvw/tvf/iZHR0f16tVL/fr1k6+vb3HuBgAAWFhp5OwlS5bos88+07vvvqtevXqZtvv4+CgiIkLp6emmb7kjIyPl7+9vao+MjDTtn5aWpuPHjys0NFQODg5q27atIiMjFRQUJEmKiopSxYoV1aJFiyLHaDTKJt9s22pcpYG+2afy3DepfPevNPtWnFWBnJyd9dGHa+Th4VGo/ct6CV9bf96LVXjv2bNHe/bs0TfffKOQkBBVrVpVvXv3Vt++fdWqVavSjhEA7Epe68rXrFklz09/a9Uq2qfIQGGVNGfHxsZq6dKlCgkJkb+/vxISEkxtgYGBqlevnsLCwjR8+HD961//0tGjRzV79mxJUv/+/bVy5UpFRESoW7duCg8Pl5eXl6nQHjRokCZPnqxmzZqpTp06mjJligYOHMhSYgBgYUVdFSg9/mdd/n6FnnnmiTKIrnwqVuFdsWJFdenSRV26dNHNmze1d+9eff/99xo0aJA8PDz0yCOPKDg4WJ6enqUdLwDYtOKuK+9cyUX79h6m+EapK2nO3rlzp27duqVly5Zp2bJlZm0nT57U0qVLNXHiRAUHB6thw4YKDw833ZeXl5cWL16sWbNmKTw8XH5+fgoPDzcNe+/bt6/Onj2ryZMnKzMzUw8//LDGjBlj2RMCADAp0qpARmOhC3WJJXz/rESTq2VmZmrXrl369ttv9e9//1s1a9ZU9+7ddebMGfXt21ejR4/Ws88+W1qxAoDNK+onyNKdZJa0dYGSk5MovGExxc3ZISEhCgkJyfN+GzZsqDVr8n5jlV3056Wg+wcA2I7CFuoSS/j+WbEK7x07duibb77Rv//9bzk6Oqpnz54KDw9XQECAaZ9PP/1U7777LoU3gLtSURITYEnkbAAArK9Yhfe4cePUo0cPvfvuu+rUqZMqVKiQY582bdroxRdfLHGAAACg+MjZAABYX7EK77179yo1NVVXr141JfBt27apffv2piVAfHx85OPjU3qRAgCAIiNnAwBgfQ7FOejIkSN66KGH9OWXX5q2rV69Wn369DFbNgQAyoOYmJM6ejSqUD9lvXQGUBByNgAA1lesb7znzJmjV155xWwylM8++0zvv/++Zs2apU2bNpVagABgLbdSUySDQa+++rK1QwGKjZwNAID1FavwPnPmjHr16pVje+/evbV06dISBwUAtuB2RipLZ8DukbMBALC+YhXejRo10tdff61hw4aZbf/+++/1l7/8pVQCAwBbUVZLZxRlmHqtWm4sPYZCIWcDAGB9xSq8X3vtNQ0fPlx79uxR69atJUknT57U4cOHtXjx4lINEADKu+IMaXeu5KJ9ew9TfKNA5GwAAKyvWIX3Aw88oM2bN2vTpk06ffq0KlasqBYtWmjq1Klq0IA3gQBQFEUd0p6VFKekrQuUnJxE4Y0CkbMBALC+YhXektS0aVONHz++NGMBgLtaUYa0A0VBzgYAwLqKVXhfvXpVH374oY4dO6abN2/KaDSata9evbpUggMAACVDzgYAwPqKVXiPHTtWx44d0yOPPKKqVauWdkwAAKCUkLMBALC+YhXee/fu1Zo1a+Tt7V3a8QAAgFJEzgYAwPocinOQh4eHHByKdSgAAChD5GwAAKyv2EPNp0yZolGjRqlhw4ZydHQ0a/f09CyV4HB3io+PU3JyUqH3L8raxwBwtyFnAwBgfcUqvEeOHClJCgkJkSQZDAZJktFolMFg0C+//FJK4eFuEx8fpw4dA5SRnmbtUACgXCBnAwBgfcUqvHfu3FnacQCSpOTkJGWkpxV6PWNJSjt9WFd2rbFwZABgn8jZAABYX7EK7/r160uSYmJidObMGXXq1ElJSUny8vIyfZIOlERR1jPOSoqzcDQAYL/I2QAAWF+xCu8rV67ob3/7mw4ePChJ2r59u2bOnKm4uDhFRESYkjwAALAucjYAANZXrGlOZ8yYIRcXF+3fv1/Ozs6SpFmzZqlu3bqaMWNGqQYIAACKj5wNAID1Favw3rVrl9544w1Vr17dtK1WrVoKCwvToUOHSi04AABQMuRsAACsr9gLe2ZkZOTYlpycrIoVizV6HQAAWAg5GwAA6ypW4d2vXz/NnDlTMTExMhgMunHjhvbv369JkyapT58+pR0jAAAoJnI2AADWV6yPuseOHat3331XwcHBysrK0mOPPaYKFSroiSee0NixY0s7RgAAUEzkbAAArK9YhbeTk5PGjx+v1157TXFxcbp165YaNGigKlWqlHZ8AACgBMjZAABYX7EK79wmYzl+/Ljp/+3bty9+RAAAoNSQswEAsL5iFd6DBw/OdbuTk5Pc3d21c+fOEgUFAABKBzkbAADrK1bhfeLECbPbt27d0u+//67p06frkUceKZXAAABAyZGzAQCwvmIvJ/ZHFSpU0L333qvx48frvffeK427BAAAFkDOBgCg7JVK4Z0tKSlJV69eLc27BAAAFkDOBgCg7BRrqHlYWFiObdevX9fevXvVq1evEgcFAChYTMzJIu1fq5abvLwaWCga2CpyNgCUf/HxcUpOTir0/kV9D4GSK1bhnRtXV1eNGzdOjz32WGndJQAgF7dSUySDQa+++nKRjnOu5KJ9ew9TfIOcDQDlSHx8nDp0DFBGepq1Q0E+ilV4z549u7TjAAAU0u2MVMlolFu/0XJ0K1wRnZUUp6StC5ScnEThfZchZwNA+ZacnKSM9LQivS9IO31YV3atsXBk+KNiFd5Lliwp9L6hoaHFeQgAQAEc3RrIuW4Ta4cBG0fOBoC7Q1HeF2QlxVk4GvxZsQrv3377Td98841cXV3Vpk0bOTk56cSJE/r999/l6+urihXv3K3BYCjVYAEAQNGQswEAsL5iFd5OTk565JFHNHXqVDk6Opq2z5kzR1euXNGsWbNKLUAAAFB85GwAAKyvWMuJbdu2TS+99JJZApekgQMHatu2baUSGAAAKDlyNgAA1leswtvDw0O7du3KsX379u1q0IBJewAAsBXkbAAArK9YQ81Hjx6t1157Tf/+97/VokULSdKxY8d0/PhxLV++vFQDBAAAxUfOBgDA+or1jfdDDz2kzz//XM2aNVNsbKzOnj2rwMBAbd++XYGBgaUdIwAAKCZyNgAA1lesb7wlqXnz5goLC9OVK1dUtWpVOTg4lPqMqJmZmZo9e7a2bt0qR0dHDRgwQK+//roMBoOOHz+ut99+W//5z3/UpEkTTZ06VW3atDEdu3XrVv39739XQkKC7r//fk2fPl21atUq1fgAALAHZZGzAQBA3or1jbfRaNSyZcsUFBSkDh066Ny5cxozZowmT56szMzMUgtuxowZ2rt3r1auXKkFCxboH//4h9avX68bN24oJCREAQEB+vzzz+Xn56dhw4bpxo0bkqSjR49q4sSJCg0N1fr163X16lWFhYWVWlwAANiLssrZAAAgb8UqvMPDw/XFF1/onXfekZOTkyTpr3/9q/bs2aO5c+eWSmCXL1/Wpk2bNH36dHl7e6tDhw4aMmSIoqOjtW3bNjk7O2vs2LFq3LixJk6cqCpVquibb76RJK1Zs0a9e/fW448/rhYtWmju3Ln64YcfFBfHQvEAgLtLWeRsAACsKSbmpI4ejSr0T3x82deFxRpqvnnzZr3zzjtq3769aahap06dNGfOHP3tb3/TW2+9VeLAIiMjVbVqVbPrz0JCQiRJkyZNkr+/v+mxDQaD2rVrp6ioKAUHBys6Olovv/yy6bh69erJ09NT0dHRzOAKALirlEXOBgDAGm6lpkgGg1599eWCd/4D50ou2rf3sLy8yq42LFbhnZSUpDp16uTYXr16ddNw75KKi4tT/fr1tWXLFi1fvlxZWVkKDg7Wq6++qoSEBDVp0sRsfzc3N8XExEiSLl26lCM+Nzc3XbhwoUgx2NLlb9mx2FJMRWHv8QPlSXF+D+39d9je4i/NOMsiZwMAYA23M1Ilo1Fu/UbL0a1wRXRWUpySti5QcnKS7Rfe9913n1auXKlp06aZtqWmpurdd99VUFBQqQR248YN/fbbb/rss880e/ZsJSQkaPLkyXJxcVFaWpppuFw2Jycn07Vq6enp+bYXlptbtZJ1wgJsMaaiKCj+mjWrlFEkwN3pwoXfi/R7Vrt2bf3lL38x3S7vf4PKo7LI2QAAWJOjWwM5121S8I5WVKzCe8qUKQoNDVWnTp2UkZGh4cOH69y5c/L09NSyZctKJ7CKFZWamqoFCxaofv36kqRz585p3bp1atiwYY4iOjMzU5UqVZIkOTs759ru4uJSpBiSkq7JaCxBJ0qRwXDnDaMtxVQUhY0/JeV62QUF3EWyh2I9++yzRTrOuZKL9u87rAYNGtwVf4NsRXa8paEscjYAAMhfsQrv6tWra+PGjdq3b59Onz6tmzdv6t5779X9998vB4dizdeWg7u7u5ydnU1FtyTde++9On/+vAIDA5WYmGi2f2JiomkonYeHR67t7u7uRYrBaJTNvUGzxZiKwt7jB+xVSYZiJSX9byiWvf8O23v8xVHaOTszM1PBwcGaNGmS6RvzGTNm6JNPPjHbb9KkSaYPevJb4tNoNGrBggXauHGjbt++rQEDBujNN98stfcTAGCP4uPjlJycZLpds2aVPL+giok5WVZhoQSKVXj369dPS5YsUYcOHdShQ4fSjkmS5OPjo4yMDP3666+69957JUmnT59W/fr15ePjow8++EBGo1EGg0FGo1FHjhzRK6+8Yjo2MjJSwcHBkqTz58/r/Pnz8vHxsUisAGAv7GEoFkpXaebsjIwMjR492jSnSrbY2FiNHj1af/3rX03bqlatKul/S3xOnTpVLVq00MyZMxUWFqb3339fkvTRRx9p69atWrJkiW7evKkxY8bIzc1NQ4cOLVGsAGCv4uPj1KFjgDLS06wdCkpRsQpvBwcHZWVllXYsZho1aqSuXbsqLCxMU6ZMUUJCgiIiIvTqq6+qV69eWrBggWbOnKmnnnpKn332mdLS0tS7d29J0tNPP63BgwfL19dXbdu21cyZM9W1a1dmNAcA3HVKK2efOnVKo0ePljGXIQOxsbEaOnRoriPL/rjEpyTNnTtX3bp1U1xcnBo0aKDVq1dr1KhRCggIkCS9+eabeu+99yi8Ady1kpOTlJGeVuhRammnD+vKrjVlEBlKoliFd9euXfXiiy+qW7duql+/fo6JzEJDQ0sluPnz52v69Ol6+umn5eLiomeeeUaDBw+WwWDQ+++/r7ffflv/+Mc/1Lx5c0VERKhy5cqSJD8/P02bNk2LFi3SlStX1KlTJ02fPr1UYgIAwJ6UVs4+ePCggoKC9Prrr8vX19e0PTU1VRcvXtQ999yT63H5LfHp5OSk8+fPq3379qZ2f39/nT17NtcVSgDgblLYUWpZSWW/JjWKrliF98mTJ9W6dWtdunRJly5dMmszlOIaKNWqVdPcuXNzbfP29tbmzZvzPDY4ONg01BwAgLtVaeXsQYMG5bo9NjZWBoNBy5cv1//93//J1dVVL774omnYeX5LfCYkJEiSWXvt2rUlSRcuXChS4W1rS8XZ2xJ2RUHf7FN57ptU/vsHyyjp66Uoxxe68H7mmWe0bNkyVa9e3TSBSnp6umkmcQAAYBvKMmefPn1aBoNBjRo10rPPPqtDhw5p0qRJqlq1qh566KF8l/hMT0833f5jm6RysQSoZLtxlQb6Zp/Kc9+k8tE/ltctGzVrVlHt2mX3eil04R0ZGZnjGrGOHTvqn//8J9dOAwBgQ8oyZz/++OPq1q2bXF1dJUktWrTQmTNntG7dOj300EP5LvH5xyLb2dnZ9H9Jdr0EqGR/S9gVBX2zT+W5b1L56h/L65aNlJTrSky8VqL7KMryn8Uaap4ttwlWAACA7bFUzjYYDKaiO1ujRo20f/9+Sfkv8enh4SFJSkhIkJeXl+n/ksrFEqCS7cZVGuibfSrPfZPKf/9QusrytVKiwhsoyB/XIMxv/cFsrEMIAPblvffe048//qhVq1aZtp04cUKNGjWSlP8Snx4eHvL09FRkZKSp8I6MjJSnpycTqwEAyhUKb1gMaxACQPnXrVs3RUREaOXKlXrooYe0e/dubdmyRatXr5ZU8BKfTz/9tObPn6+6detKkhYsWKAhQ4ZYrT8AAFhCkQrvr7/+WlWrVjXdvn37tr777jvVqlXLbL/stTpxdyvqGoQS6xACQGkpq5zt7e2t9957T4sWLdJ7772n+vXra8GCBfLz85NU8BKfQ4cOVVJSkkJDQ1WhQgUNGDBAL7zwQoliAgDA1hS68Pb09NSHH35ots3NzU1r1pgXSQaDgcIbZgq7BqHEOoQAUBosnbNPnjS/LKhHjx7q0aNHnvvnt8RnhQoVFBYWprCwsCLHAQCAvSh04f39999bMg4AAFBKyNkAANgWB2sHAAAAAABAeUbhDQAAAACABVF4AwAAAABgQRTeAAAAAABYEIU3AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBhV7HGwAAAABQNPHxcUpOTir0/jExJy0YDayFwhsAAAAALCA+Pk4dOgYoIz3N2qHAyii8AQAAAMACkpOTlJGeJrd+o+Xo1qBQx6SdPqwru9ZYODKUNQpvAAAAALAgR7cGcq7bpFD7ZiXFWTgaWAOTqwEAAAAAYEEU3gAAAAAAWBCFNwAAAAAAFkThDQAAAACABVF4AwAAAABgQRTeAAAAAABYEIU3AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBFa0dAADAtsXEnJQk1axZRSkp1/Pdt1YtN3l5NSiLsAAAAOwGhTcAIFe3UlMkg0GvvvpyoY9xcnbWRx+ukYeHR6GPoVgHAADlHYU3ACBXtzNSJaNRbv1Gy9Gt4MI4Pf5nXf5+hZ555okiPY5zJRft23uY4hsAAJRbFN4AgHw5ujWQc90mBe6XlRRXpEI9+5ikrQuUnJxE4Q0AAMotCm8AQKkqbKEOAABwt2BWcwAAAAAALIjCGwAAAAAAC2KoOYokPj5OyclJhdo3ewkiAAAAALibUXij0OLj49ShY4Ay0tOsHQoAFEl8fJx+/z29wHXI/4hlzgAAQGmh8EahJScnKSM9rdAzFqedPqwru9aUQWQAkLfifmjIMmcAAKC0UHijyIq0tBAAWFlRPzSUWOYMAJC7olx2KXHpJf6HwhsAcFdgmTMAQElw2SVKgsIbAAAAAApQnBFUXHqJbBTeAAAAAFBIRRlBxaWXyMY63gAAAAAAWBCFNwAAAAAAFkThDQAAAACABVF4AwAAAABgQRTeAAAAAABYEIU3AAAAAAAWROENAAAAAIAF2U3hHRISovHjx5tuHz9+XE888YR8fHzUv39//fTTT2b7b926VT169JCPj49GjBih5OTksg4ZAAAAAAD7KLy/+uor/fDDD6bbN27cUEhIiAICAvT555/Lz89Pw4YN040bNyRJR48e1cSJExUaGqr169fr6tWrCgsLs1b4AAAAAIC7mM0X3pcvX9bcuXPVtm1b07Zt27bJ2dlZY8eOVePGjTVx4kRVqVJF33zzjSRpzZo16t27tx5//HG1aNFCc+fO1Q8//KC4uDhrdQMAAAAAcJey+cJ7zpw5euyxx9SkSRPTtujoaPn7+8tgMEiSDAaD2rVrp6ioKFN7QECAaf969erJ09NT0dHRZRo7AAAAAAA2XXjv27dPhw8f1vDhw822JyQkqE6dOmbb3NzcdOHCBUnSpUuX8m0vLIPBtn6sHRMAWJKt/u3iby4AACipitYOIC8ZGRl6++23NXnyZFWqVMmsLS0tTU5OTmbbnJyclJmZKUlKT0/Pt72w3NyqFSNyy7JmTDVrVrHaYwMo32rWrKLatS3z960kf7ssGZe9yszMVHBwsCZNmqSgoCBJUlxcnCZNmqSoqCh5enpqwoQJuv/++03H7N27V7NmzVJcXJx8fHw0c+ZMNWjQwNS+atUqrVy5Uqmpqerdu7cmTZokFxeXMu8bAACWYrOF95IlS9SmTRt17tw5R5uzs3OOIjozM9NUoOfVXtQknpR0TUZjEQO3EIPhTtFtzZhSUq5b54EBlHspKdeVmHjNYvddkmMtFVd+sv/m25qMjAyNHj1aMTExpm1Go1EjRoxQs2bNtGnTJu3YsUOhoaHatm2bPD09de7cOY0YMUIjR45U586dFR4eruHDh+uLL76QwWDQ9u3btWTJEs2bN09ubm4KCwvTvHnzNHnyZCv2FACA0mWzhfdXX32lxMRE+fn5SZKpkN6+fbv69eunxMREs/0TExNNw8s9PDxybXd3dy9SDEajbKbwzmaLMQFAabDVv222GldZO3XqlEaPHi3jn07I/v37FRcXp88++0yVK1dW48aNtW/fPm3atEkjR47Uhg0b1KZNGw0ZMkSSNHv2bHXq1EkHDx5UUFCQVq9ereeff17dunWTJE2dOlVDhw7VmDFj+NYbAFBu2Ow13p988om+/PJLbdmyRVu2bFH37t3VvXt3bdmyRT4+Pvrxxx9Nyd9oNOrIkSPy8fGRJPn4+CgyMtJ0X+fPn9f58+dN7QAAoGiyC+X169ebbY+OjlarVq1UuXJl0zZ/f/88Jzx1cXFR69atFRUVpVu3bunYsWNm7b6+vsrKytKJEycs2yEAAMqQzX7jXb9+fbPbVarcuUavYcOGcnNz04IFCzRz5kw99dRT+uyzz5SWlqbevXtLkp5++mkNHjxYvr6+atu2rWbOnKmuXbuaXU8GAAAKb9CgQbluL2jC0/zar169qoyMDLP2ihUrytXVtVgTotqSP06KWt7QN/tUnvsmlf/+wTJK+nopyvE2W3jnp2rVqnr//ff19ttv6x//+IeaN2+uiIgI06ftfn5+mjZtmhYtWqQrV66oU6dOmj59upWjBgCg/ClowtP82tPT00238zq+sGzxmnjJduMqDfTNPpXnvkmW7R8TDZcvZT2Bqt0U3u+8847ZbW9vb23evDnP/YODgxUcHGzpsAAAuKs5Ozvr8uXLZtsKM+Fp9erV5ezsbLr953Z7nhBVso1JUS2Fvtmn8tw3qWz6x0TD5UtpTKBalMlQ7abwBgAAtsfDw0OnTp0y21aYCU9btmwpV1dXOTs7KzExUY0bN5Yk3bx5U5cvXy4XE6JKthtXaaBv9qk8900q//1D6SrL14rNTq4GAABsn4+Pj37++WfTsHFJioyMzHPC07S0NB0/flw+Pj5ycHBQ27ZtzdqjoqJUsWJFtWjRouw6AQCAhVF4AwCAYgsMDFS9evUUFhammJgYRURE6OjRoxowYIAkqX///jpy5IgiIiIUExOjsLAweXl5KSgoSNKdSdtWrlypHTt26OjRo5oyZYoGDhzIUmIAgHKFwhsAABRbhQoVtHTpUiUkJCg4OFhffPGFwsPD5enpKUny8vLS4sWLtWnTJg0YMECXL19WeHi4DP+dCrZv374aNmyYJk+erCFDhsjb21tjxoyxZpcAACh1XOMNAACK5OTJk2a3GzZsqDVr1uS5f5cuXdSlS5c820NCQhQSElJq8QFAYcXHxyk5OalQ+8bEnCx4JyAPFN4AALvDGyUAQEnFx8epQ8cAZaSnWTsU3AUovAEAdoU3SgCA0pCcnKSM9DS59RstR7cGBe6fdvqwruzKe3QPkB8KbwCAXeGNEgCgNDm6NZBz3SYF7peVFFcG0aC8ovC+ixVlqKbEcE0AtoU3SgAAwF5QeN+lGKoJwJYU5YM9PgQEAAD2hsL7LlXUoZoSwzUBlL5bqSmSwaBXX33Z2qEAAABYDIX3Xa6wQzUlhmsCKH23M1Ilo5EPAQEAQLlG4Q0AsDo+BAQAAOWZg7UDAAAAAACgPKPwBgAAAADAgii8AQAAAACwIApvAAAAAAAsiMIbAAAAAAALovAGAAAAAMCCKLwBAAAAALAgCm8AAAAAACyIwhsAAAAAAAui8AYAAAAAwIIovAEAAAAAsCAKbwAAAAAALIjCGwAAAAAAC6LwBgAAAADAgii8AQAAAACwIApvAAAAAAAsqKK1AwAAAACAkvr9998VE/NbofePiTlpwWgAcxTeAAAAAOxafHycOnRsr/S0G9YOBcgVhTcAAAAAu5aUlKT0tBty6zdajm4NCnVM2unDurJrjYUjA+6g8AYAAABQLji6NZBz3SaF2jcrKc7C0QD/w+RqAAAAAABYEIU3AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBFN4AAAAAAFgQhTcAAAAAABbEcmLlSHx8nJKTkwq1b0zMSQtHAwAAAACQKLzLjfj4OHXoGKCM9DRrhwIAAAAA+AMK73IiOTlJGelpcus3Wo5uDQrcP+30YV3ZtaYMIgMAAACAuxuFdznj6NZAznWbFLhfVlJcGUQDAPatqJfl1KrlJi+vgj/8BAAAdxcKbwAA/uRWaopkMOjVV18u0nHOlVy0b+9him8AAGCGwhsAgD+5nZEqGY2FvnxHujOSKGnrAiUnJ1F4AwAAMxTeAADkobCX7wAAAOSHdbwBAAAAALAgCm8AAAAAACyIoeYAAAAAbEp8fJySk5MKvX9RV6EAyppNF94XL17UzJkztX//fjk7O6tPnz5644035OzsrLi4OE2aNElRUVHy9PTUhAkTdP/995uO3bt3r2bNmqW4uDj5+Pho5syZatCAyW4AAAAAWxYfH6cOHQOUkZ5m7VCAUmOzhbfRaNSoUaNUvXp1ffrpp7py5YomTJggBwcHjR07ViNGjFCzZs20adMm7dixQ6Ghodq2bZs8PT117tw5jRgxQiNHjlTnzp0VHh6u4cOH64svvpDBYLB21wAAAADkITk5SRnpaUVaWSLt9GFd2bXGwpEBxWezhffp06cVFRWlPXv2qHbt2pKkUaNGac6cOXrggQcUFxenzz77TJUrV1bjxo21b98+bdq0SSNHjtSGDRvUpk0bDRkyRJI0e/ZsderUSQcPHlRQUJA1uwUAQLn03XffKTQ01Gxbz549tWjRIh0/flxvv/22/vOf/6hJkyaaOnWq2rRpY9pv69at+vvf/66EhATdf//9mj59umrVqlXWXQBgY4qyskRWUpyFowFKxmYnV3N3d9eKFStMRXe21NRURUdHq1WrVqpcubJpu7+/v6KioiRJ0dHRCggIMLW5uLiodevWpnYAAFC6Tp06pW7dumn37t2mnxkzZujGjRsKCQlRQECAPv/8c/n5+WnYsGG6ceOGJOno0aOaOHGiQkNDtX79el29elVhYWFW7g0AAKXLZgvv6tWrq3Pnzqbbt2/f1po1a3TfffcpISFBderUMdvfzc1NFy5ckKQC2wvLYLCtn/xiAgDYjtL6m29PYmNj1axZM7m7u5t+qlevrm3btsnZ2Vljx45V48aNNXHiRFWpUkXffPONJGnNmjXq3bu3Hn/8cbVo0UJz587VDz/8oLg4vr0CAJQfNjvU/M/mzZun48ePa+PGjVq1apWcnJzM2p2cnJSZmSlJSktLy7e9sNzcqpUsaAvIK6aaNauUcSQAgNzUrFlFtWvbXv6wtNjYWHXs2DHH9ujoaPn7+5vmWDEYDGrXrp2ioqIUHBys6Ohovfzyy6b969WrJ09PT0VHRzMpKgCg3LCLwnvevHn6+OOPtXDhQjVr1kzOzs66fPmy2T6ZmZmqVKmSJMnZ2TlHkZ2Zmanq1asX6XGTkq7JaCxR6KXGYLhTdOcVU0rK9bIPCgCQQ0rKdSUmXivRfWT/zbcXRqNRv/76q3bv3q33339ft27dUq9evTRq1CglJCSoSRPzazTd3NwUExMjSbp06VKpjFIDAMCW2XzhPX36dK1bt07z5s1Tz549JUkeHh46deqU2X6JiYmmxO3h4aHExMQc7S1btizSYxuNspnCO5stxgQAMHe3/Z0+d+6cabTZ3//+d8XHx2vGjBlKT08vcBRaenp6qYxSs7Xh+X+8RKy8oW/2qTz3DSiukv4+FOV4my68lyxZos8++0zvvvuuevXqZdru4+OjiIgIpaenm77ljoyMlL+/v6k9MjLStH9aWpqOHz+eY7ZVAABQcvXr19eBAwdUo0YNGQwGtWzZUrdv39aYMWMUGBiY6yi0gkapubi4FCkGWx0hYKtxlQb6Zp/soW9cQomyUNaXhtls4R0bG6ulS5cqJCRE/v7+SkhIMLUFBgaqXr16CgsL0/Dhw/Wvf/1LR48e1ezZsyVJ/fv318qVKxUREaFu3bopPDxcXl5eLCUGAICFuLq6mt1u3LixMjIy5O7unusotIJGqbm7uxfp8W3p8jCp4EvE7Bl9s0/21DcuoURZKOtLw2x2VvOdO3fq1q1bWrZsme6//36znwoVKmjp0qVKSEhQcHCwvvjiC4WHh8vT01OS5OXlpcWLF2vTpk0aMGCALl++rPDwcNPELgAAoPTs2rVLQUFBSktLM2375Zdf5OrqKn9/f/34448y/vedvtFo1JEjR+Tj4yMp5yi18+fP6/z586b2wsq+FMuWfmw1LvpG32z9BygrZfl6tdlvvENCQhQSEpJne8OGDbVmzZo827t06aIuXbpYIjQAAPAHfn5+cnZ21ltvvaURI0YoLi5Oc+fO1UsvvaRevXppwYIFmjlzpp566il99tlnSktLU+/evSVJTz/9tAYPHixfX1+1bdtWM2fOVNeuXZnRHABQrtjsN94AAMA+VK1aVStXrlRycrL69++viRMn6sknn9RLL72kqlWr6v3331dkZKRp+bCIiAhVrlxZ0p2ifdq0aQoPD9fTTz+tGjVqmC4dAwCgvLDZb7wBAID9aNq0qT766KNc27y9vbV58+Y8jw0ODlZwcLClQgMAwOoovAEAAABYVHx8nJKTkwq1b0zMSQtHA5Q9Cm8AAAAAFhMfH6cOHQOUkZ5W8M5AOUXhDQAAAMBikpOTlJGeJrd+o+XoVvDEiWmnD+vKrrwnUQbsEYU3AAAAAItzdGsg57pNCtwvKymuDKIByhazmgMAAAAAYEEU3gAAAAAAWBCFNwAAAAAAFkThDQAAAACABVF4AwAAAABgQRTeAAAAAABYEIU3AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBFN4AAAAAAFgQhTcAAAAAABZE4Q0AAAAAgAVVtHYAAAAAAOxHfHyckpOTCr1/TMxJC0YD2AcKbwAAAACFEh8fpw4dA5SRnmbtUAC7QuENAAAAoFCSk5OUkZ4mt36j5ejWoFDHpJ0+rCu71lg4MsC2UXgDAAAAKBJHtwZyrtukUPtmJcVZOBrA9jG5GgAAAAAAFsQ33gAAAMBdionSgLJB4Q0AAADchZgoDSg7FN42KrdPH2vWrKKUlOu57s+njwAAACgKJkoDyg6Ftw3i00cAAACUFSZKAyyPwtsG8ekjAAAAAJQfFN42jE8fAQAAAMD+sZwYAAAAAAAWROENAAAAAIAFUXgDAAAAAGBBXOMNAAAAlBO5LUmb7c9L07IcLVB2KLwBAACAcoAlaQHbReENAAAAlANFXZKW5WiBskPhDQAAANig/IaN5yZ76Hhhl6RlOVqg7FB4AwAAADaGYeNA+ULhDQAAANiYog4blxg6DtgyCm8AAADARhV22LjE0HHAlrGONwAAAAAAFkThDQAAAACABVF4AwAAAABgQRTeAAAAAABYEJOrAQAAABZW3DW5AZQPFN4AAACABbEmNwAKbwAAAMCCWJMbAIU3AAAAUERFGTqePWycNbmBuxeFdxngmh4AAADb9cf3ajVrVlFKyvV897948aJeHDJYmRnpZREegHKAwtvCuKYHAADAdpXkvVphh44zbBxAuS28MzIyNHXqVH377beqVKmShgwZoiFDhpR5HFzTAwBA/mwlZ+PuVJL3aoUdOs6wcQDltvCeO3eufvrpJ3388cc6d+6cxo0bJ09PT/Xq1csq8XBNDwAAubO1nA3bUtRL9qQ7H+Y4OzsXal+uvwZQFspl4X3jxg1t2LBBH3zwgVq3bq3WrVsrJiZGn376KUkcAAAbQs5Gfoo9DNzgIBlvWyYoACiGcll4nzhxQjdv3pSfn59pm7+/v5YvX67bt2/LwcHBitEBAIBs5Gz7VtRvo4vyTbR059vo4g4D5/prALakXBbeCQkJqlmzppycnEzbateurYyMDF2+fFm1atWyYnQAACCbreXs0iwk85odu6jFZ3GOqVXLTV5ehStUsxWl7zVrVtGJE6eLPrN3Mb+JLs4wcK6/BmBLymXhnZaWZpbAJZluZ2ZmFvp+HBwko7FksVSoUEHVqlWT841LcrzsVPABklyyrlj8mPLyGMRFXPb+GMRVfuLSjUuqVq2aKlSooJJ+SWswlOx4e2JLOfvs2bN6uGe3og1rLk4hWQbHODlX0rKlEXJ3r1Oo/S9duqQRoSHKSC/a8ljOTo6qc/9TqlDDvcB9M8/9R6k/f68agf0Ltf8fj7H3vxF3+99H4rL/uMpT362Vrw1GY0nTlO35+uuvNWPGDO3Zs8e0LTY2Vn369NGBAwfk6upqveAAAIAJORsAcDcolxdOeXh4KCUlRTdv3jRtS0hIUKVKlVS9enUrRgYAAP6InA0AuBuUy8K7ZcuWqlixoqKiokzbIiMj1bZtWyZpAQDAhpCzAQB3g3KZ0VxcXPT4449rypQpOnr0qHbs2KEPP/xQzz33nLVDAwAAf0DOBgDcDcrlNd7SnclapkyZom+//VZVq1bV0KFD9cILL1g7LAAA8CfkbABAeVduC28AAAAAAGxBuRxqDgAAAACAraDwBgAAAADAgii8AQAAAACwIApvG2c0GrVo0SJ17NhRgYGBmjRpkjIyMkztcXFxeuGFF+Tr66s+ffpo9+7dVow2p+PHj6t58+ZmP8HBwab2GTNm5Ghfs2aNFSM2V1D8tn7+/2jq1KkaPHiw2TZbP/9/llsfbP05SEpK0qhRo+Tv769OnTpp3rx5ZusVr1q1KsdzMGfOHCtGbK6g+FNSUjRy5Ej5+fmpe/fu+uc//2nFaHO6evWqJk6cqI4dO+q+++7T+PHjdfXqVVO7rZ9/2B97z3v5KU85MT/lIV/mxR7zaEHsPc/mx95zcH7uxvxc0doBIH8ffPCB1q5dq4ULF6pKlSoaPXq0lixZotGjR8toNGrEiBFq1qyZNm3apB07dig0NFTbtm2Tp6entUOXJJ06dUotW7bUBx98YNpWseL/XnaxsbEaPXq0/vrXv5q2Va1atUxjzE9+8dvD+c925MgRrVu3Tu3btzfbbuvn/49y64M9PAdvvvmmDAaD1q9fr8uXL+vNN99UtWrV9Morr0i68xobNGiQhg8fbjrGxcXFWuHmUFD8YWFhSk9P1/r16xUdHa233npL9957r7y9va0c+R1vv/22fv/9d0VERMhgMGjKlCl66623tGjRIkm2f/5hf+w97+WnvOTE/JSHfJkXe82jBbH3PJsfe8/B+bkb8zOFtw27deuWPvroI40bN04dOnSQJI0cOVJbtmyRJO3fv19xcXH67LPPVLlyZTVu3Fj79u3Tpk2bNHLkSCtG/j+xsbFq3Lix3N3d82wfOnRonu3Wll/89nD+JSkzM1OTJ0+Wr69vjjZbP//Z8uqDrT8HmZmZcnNz08iRI9WwYUNJUs+ePRUZGWnaJzY2Vo8//rhNPgcFxf/777/rX//6l3bu3CkvLy81a9ZMUVFRWrt2rU0k/Rs3bmj79u1at26d2rRpI0maMGGCnnnmGWVkZMjZ2dmmzz/sk73nvfyUh5yYn/KQL/Nir3m0IPaeZ/Nj7zk4P3drfmaouQ2LiYlRSkqKevToYdr26KOP6sMPP5QkRUdHq1WrVqpcubKp3d/fX1FRUWUdap5iY2N1zz335NqWmpqqixcv5tluC/KL3x7OvyRFRESoefPm6tSpk9l2ezj/2fLqg60/B05OTpo/f74pYcbExOj7779XYGCgaZ/Tp0/b7HNQUPzR0dGqV6+evLy8TMf4+/vrxx9/tEq8f+bg4KDly5erZcuWZttv3bql69evS7Lt8w/7ZO95Lz/lISfmpzzky7zYax4tiL3n2fzYew7Oz92anym8bVh8fLxq1KihI0eO6PHHH1eXLl00c+ZMZWZmSpISEhJUp04ds2Pc3Nx04cIFa4Sbq9jYWP3yyy965JFH1LVrV02ePFmpqammNoPBoOXLl+uBBx7Qo48+qs2bN1s5YnP5xW8v53/dunUKCwvLtc3Wz7+Ufx/s4TnI9uyzz6pfv36qVq2annnmGUlSYmKiLl++rM2bN6t79+7q3bu3Vq5cKaPRaOVoc8ot/rzO/8WLF60RYg6VKlXSAw88ICcnJ9O21atXq3nz5qpVq5ZdnX/YD3vPe/mx95yYn/KQL/NSXvJoQew9z+bHHnNwfu7W/MxQcytLT0/P8xfk2rVrSk9P14IFCxQWFqbbt2/r7bff1u3btzVp0iSlpaWZvWClO5+OZRfmZSG/+GvVqqW4uDh5eXlp1qxZunr1qmbPnq0xY8Zo2bJlOn36tAwGgxo1aqRnn31Whw4d0qRJk1S1alU99NBDNh+/rZ9/d3d3TZ48WSNHjlTt2rVztNvC+ZdK1gd7eA6yv0V46623dOXKFc2YMUNvvPGGli9frtOnT0u6kyiXLVumX375RTNmzFCFChX0wgsv2Hz89nT+JWnNmjX6+uuvtWLFCkmyifMP+2PveS8/9p4T81Me8mVe7D2PFsTe82x+7D0H54f8nBOFt5VFR0frueeey7Xt3XffVXp6ut566y3TsJLx48frjTfe0MSJE+Xs7KzLly+bHZOZmalKlSpZOmyT/OIPDw/X/v375ezsLEdHR0nSO++8o/79++vixYt6/PHH1a1bN7m6ukqSWrRooTNnzmjdunVllshKEr+tn//Ro0fr1q1bevLJJ3Ntt4XzL5WsD7b+HISHh5suFWnRooUkadasWRowYIDi4+MVGBio/fv3q2bNmpKk5s2bKzk5WevWrSuzxFKS+J2dnXMkeFs9/59++qlmzJihsLAw3X///ZJkE+cf9sfe815+7D0n5qc85Mu82HseLYi959n82HsOzg/5OScKbysLCgrSyZMnc207ePCgJKlRo0ambffee68yMjKUnJwsDw8PnTp1yuyYxMTEHMNOLCm/+HPTuHFjSdLFixfl4eFhSmLZGjVqpP3795dmiPkqafy2fP4HDx6sn376Se3atZMkZWVl6datW/Lz89NXX30lT09Pq59/qWR9sPXnIDU1Vdu2bVOvXr3k4HDnyp4mTZpIurMEiJeXlympZGvcuHGZDhMrSfweHh5KTEw0OyYxMbFMJ0IpzO/wypUrNXfuXI0dO1bPP/+8WZu1zz/sj73nvfzYe07MT3nIl3mx9zxaEHvPs/mx9xycH/JzTlzjbcNatWolR0dHnThxwrQtNjZWVapUkaurq3x8fPTzzz8rPT3d1B4ZGSkfHx9rhJvDqVOn5Ofnp7i4ONO2X375RRUrVlTDhg313nvv5fjU6sSJE2YfNFhTQfHb+vmfP3++vvrqK23ZskVbtmzRU089pTZt2mjLli2qU6eOzZ9/qeA+2PpzkJaWptdff13R0dGmbT///LMqVKige++9Vxs2bFDPnj3Nrln65ZdfbOY5KCh+X19fnT171uxawMjIyFxnBLaWzZs3a+7cuQoLC9PQoUPN2mz9/MP+2Hvey4+958T8lId8mRd7z6MFsfc8m5/ykIPzc1fmZyNs2tSpU40PP/yw8ccffzQeOXLE+NBDDxlnzZplNBqNxps3bxr79OljfO2114z/+c9/jO+//77R19fXePbsWStHfcetW7eMjz32mPH55583njx50njo0CFjnz59jG+//bbRaDQao6Ojja1atTKuWLHC+Ntvvxk//fRTY5s2bYxHjhyxbuD/VVD8tn7+/2zRokXGZ5991nTb1s9/bv7cB3t4DkJDQ41//etfjT///LPx0KFDxocfftg4c+ZMo9FoNMbHxxv9/PyMs2fPNp45c8a4detWY7t27YxfffWVlaP+n/ziNxqNxiFDhhifffZZ4y+//GL8xz/+YWzbtq0xOjraihH/T0pKitHX19c4btw446VLl8x+bt68aRfnH/bF3vNefspbTsxPeciXebHHPFoQe8+z+bHnHJyfuzU/U3jbuIyMDOOMGTOM7du3NwYEBBinTZtmzMjIMLWfOXPG+MwzzxjbtGlj7Nu3r3HPnj1WjDanc+fOGUeMGGEMCAgwBgYGGqdPn24W/3fffWd85JFHjG3btjX26tXLuH37ditGm1NB8dv6+f+jPydbo9H2z/+f5dYHW38Orl69ahw/frwxMDDQGBgYaJw1a5bZa+jQoUPGgQMHGr29vY3dunUzrl271orR5lRQ/ImJicZhw4YZ27Zta+zevbvxyy+/tGK05rZu3Wps1qxZrj9xcXFGo9H2zz/sj73nvfyUp5yYn/KQL/Nij3m0IPaeZ/Njzzk4P3drfjYYjXY+LzsAAAAAADaMa7wBAAAAALAgCm8AAAAAACyIwhsAAAAAAAui8AYAAAAAwIIovAEAAAAAsCAKbwAAAAAALIjCGwAAAAAAC6LwBgAAAADAgipaOwDAnnTv3l1nz57Nsb1du3aqWLGiAgMDNXLkyCLf7y+//KK0tDS1a9euwH0PHDig5557zmxb5cqV1a5dO40cOVK+vr6Fesyvv/5agYGBcnNz0+LFi3Xw4EF98sknRY5dkgYPHqyDBw+ableoUEF169bVY489puHDh8vR0bFY91sWxo8fL0l655137orHBYC7BTk7d+Rs+3lclC8U3kARTZgwQX369DHblp2kipusRowYodDQ0EIl8Wy7d+82/T81NVXvvfeeQkJCtHPnTlWrVi3fY8+ePavXXntNO3fuLFa8uRkyZIiGDBkiSbp9+7Z+/vlnjR49WhUqVFBoaGipPQ4AAIVFzs4dORsoexTeQBFVq1ZN7u7u1g7DLAZ3d3dNnDhR999/vw4cOKAePXrke6zRaCz1eCpXrmwWk4eHhx555BF99913JHEAgFWQs3NHzgbKHtd4A6Vk8ODBWrx4saQ7Q5LGjx+vRx99VB06dNCZM2e0bds29ezZU23btlWfPn20Y8cO03Fnz55VWFiYaShTcVSoUEHS/z7Bj4yM1NNPPy0fHx/5+vrq5Zdf1qVLlyRJDz74oOnfzz//XJKUlZWlqVOnql27durYsaM++uijYseSrWLFimbfKHz++efq3bu3vL29FRwcrEOHDkmSZsyYoVGjRpn2W7Zsmdq0aaOMjAxJ0q+//qq2bdvqxo0byszM1IwZMxQUFKSgoCC9+eabunz5siQpPj5ezZs3V3h4uNq3b69p06aVuA/nz5/XK6+8Ih8fH3Xv3l1LlizRrVu3dPv2bXXu3FmbNm0y7Ws0GvXAAw/on//8pyTp8OHDCg4Olre3tx555BFt3769xPEAAEqOnJ0TOZucDcui8AYs5J///Kdee+01vf/++6pWrZrGjh2rYcOG6ZtvvlH//v31xhtv6PLly1q8eLHq1q2rCRMmaOLEicV6rJSUFM2dO1c1a9aUn5+frl27pmHDhqlTp07aunWrVq5cqd9//10RERGSpA0bNpj+zR6C9+OPP8rR0VFbtmxRSEiI3nnnHcXGxhYrnlu3bungwYP68ssvTW8YPv/8c02fPl3Dhg3Tli1b1LFjR4WEhOjixYvq3LmzDh06ZPpU/9ChQ7p586aOHTsmSdq7d6/8/f1VuXJlvfvuu/rpp5/0wQcfaPXq1UpNTdXf/vY3s8c/cuSINm3alOO6uqIyGo0KDQ2Vm5ubNm/erNmzZ+vLL7/U8uXL5eDgoF69eum7774z7R8VFaXLly/rwQcfVEJCgoYNG6bg4GB9+eWXeumllzR+/HgdPny4RDEBAEofOZucTc6GpTHUHCiit99+W9OnTzfbtmfPnhz7tW3bVt27d5ckHT9+XFlZWapbt67q16+vIUOGqHnz5nJ2dpaLi4sqVKigatWqFXid1x/5+flJunNtVnp6uho2bKiFCxeqevXqSkhI0PDhw/Xiiy/KYDCoQYMGevjhh3X06FFJUq1atUz/VqpUSdKdYWZhYWEyGAx64YUXFB4erpMnT6px48aFiuf999/Xhx9+KEnKyMhQhQoV1K9fPw0dOlSS9Mknn2jw4MF6/PHHJUlvvvmmDh06pDVr1mj48OG6du2aYmJi1KhRI0VFRen+++/XkSNHFBAQoL1796pz585KS0vTmjVrtGnTJjVv3lySNHfuXAUFBenkyZOqUqWKJOn555/XX/7yl0Kfy7zs379f586d04YNG+Tg4KBGjRpp3LhxCgsL04gRI9S3b18NHjxYqampqlq1qrZv364uXbqoatWqWrFihTp27Khnn31WktSwYUP98ssv+vjjjxUQEFDi2AAABSNn546cTc5G2aPwBopo1KhRevjhh822ubi45Nivfv36pv+3bNlSXbt21Ysvvqh7771XDz74oJ544olcjyusLVu2SJIcHBxUtWpV1axZ09Tm7u6uxx9/XKtWrdIvv/yiU6dO6eTJk/lOBOPl5SWDwWC6Xa1aNdOwscJ46qmnNHjwYEl3hs7Vrl1bTk5OpvbY2FiNGDHC7BhfX1/FxsbKxcVF/v7+OnjwoNLT01W/fn116dJFe/bsMX0S/7e//U1xcXHKysrSU089ZXY/t2/f1pkzZ9S6dWtJ5ue+JGJjY3X58mX5+/ubPVZ6erpSUlLk6+srd3d3/fDDD+rbt6++/fZbjRkzRpJ0+vRp/etf/zK92ZLuDA289957SyU2AEDByNm5I2eTs1H2KLyBInJzc1PDhg0L3M/Z2dn0f4PBoPfff19Hjx7Vzp079d1332nt2rVau3atWrZsWaw48ovh4sWL6t+/v1q3bq2OHTtq4MCB+ve//63o6Og8j8m+3uyPijKhS40aNfKN6Y/nI1v2dVeS1KlTJx08eFAZGRlq166d/P39tWTJEh07dkyVK1dWs2bN9Msvv0iS1q5dq8qVK5vdl5ubm+m6sdweqzhu3rypRo0aaenSpTnasr/p6NOnj7Zv366GDRsqJSVFXbt2NR37yCOP6JVXXjE7rmJF/uwCQFkhZ+eOnE3ORtnjGm+gDMTGxmrOnDny9vbW66+/rq+++kr16tXTrl27LPJ43333nWrUqKH3339fzz//vAICAhQXF2dKyn/8lLys3HvvvTneRERHR5s+Tc6+ZiwyMlIBAQFq0aKFbt68qdWrV+v++++XJDVo0EAVKlTQ5cuX1bBhQzVs2FBVq1bV7NmzlZSUZJGYz507p1q1apkeLz4+XosWLTKdw759+2rPnj3avn27unfvbvpG5N5779Vvv/1mOq5hw4bauXOnvvzyy1KPEwBQesjZ5GxyNiyBwhsoA9WrV9e6deu0dOlSxcXF6d///rfOnj2rVq1aSbqzrMfp06dNn/6WlKurq86dO6d9+/YpLi5OERER+vbbb5WZmSnpf8PsTpw4oevXr5fKYxbkhRde0Jo1a7Rlyxb9+uuvmj9/vk6cOKEBAwZIklq0aCEHBwf93//9n/z9/eXg4CA/Pz9t27ZNnTt3liRVrVpVTzzxhKZMmaIDBw7o1KlTGjt2rH777Td5eXkVO7aLFy/q//7v/8x+zpw5o/vvv1/169fXmDFjdPLkSR0+fFiTJk0yXeMn3RmSWKdOHa1Zs0a9e/c23eegQYP0008/aeHChTpz5oy+/PJLvfvuu/L09CzBWQQAWBo5m5xNzoYlMH4CKAPu7u5avHix5s+fr+XLl8vNzU1vvPGG6VPhp59+WvPnz9eZM2e0ZMmSEj9e7969dejQIY0aNUoGg0Ft27bVuHHjtHjxYmVmZqpWrVp69NFH9dprr+nNN98s8eMVRp8+fZSYmKhFixYpISFBLVu21IcffmiaCMZgMKhjx446dOiQKdFlT9LSsWNH0/2MHz9ec+bM0ahRo5SVlaX27dsrIiIi12F3hbV3717t3bvXbNsrr7yi119/XcuWLdP06dM1cOBAVa5cWb169dK4ceNy9O3jjz/WAw88YNpWv359LV++XPPnz9fKlSvl4eFhWq4GAGC7yNnkbHI2LMFgLMoFIQAAAAAAoEgYag4AAAAAgAUx1BywIdu3b9f48ePzbPf399eKFSvKMCIpODhYv/76a57tH3zwgc2ucTlz5kxt3Lgxz/Zhw4blmMEUAIDCIGeXLnI2yjuGmgM25Pr160pMTMyzvVKlSvLw8CjDiKRz584pKysrz3YPDw9VqlSpDCMqvOTkZF27di3P9ho1asjV1bXsAgIAlBvk7NJFzkZ5R+ENAAAAAIAFcY03AAAAAAAWROENAAAAAIAFUXgDAAAAAGBBFN4AAAAAAFgQhTcAAAAAABZE4Q0AAAAAgAVReAMAAAAAYEEU3gAAAAAAWND/A9yMP2IeT9ldAAAAAElFTkSuQmCC" 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Categorical features one-hot encoded.\n", - "'CIR' columns extracted.\n", - "'CIR' columns converted to float.\n", - "'CIR' columns denoised.\n", - "Original 'CIR' columns replaced with denoised data.\n", - "Column 'CH' dropped due to having only one unique value.\n", - "Column 'BITRATE' dropped due to having only one unique value.\n", - "Cleaned data shape: (41997, 1025)\n", - "Data cleaning process completed.\n" - ] - }, - { - "data": { - "text/plain": "
", - "image/png": 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" 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" 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" 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}, "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\BenjaminLoh\\AppData\\Local\\Temp\\ipykernel_6952\\2998122009.py:9: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", - " data['Total_Distance'] = data[cir_columns].abs().sum(axis=1) * speed_of_light_ns\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - " NLOS RANGE FP_IDX MAX_NOISE FRAME_LEN PREAM_LEN CIR0 \\\n", - "0 0 3.90 745.0 967.0 2 0 128.646447 \n", - "1 0 0.66 749.0 1133.0 0 0 117.353553 \n", - "2 1 7.86 746.0 894.0 0 0 433.353553 \n", - "3 1 3.48 750.0 1127.0 2 0 465.646447 \n", - "4 0 1.19 746.0 1744.0 0 0 259.353553 \n", - "... ... ... ... ... ... ... ... \n", - "5995 0 2.43 745.0 2379.0 0 0 395.646447 \n", - "5996 0 1.39 745.0 1810.0 2 0 183.353553 \n", - "5997 1 5.48 747.0 1092.0 2 0 202.646447 \n", - "5998 1 3.40 745.0 1077.0 0 0 484.353553 \n", - "5999 0 2.43 747.0 1224.0 0 0 747.646447 \n", - "\n", - " CIR1 CIR2 CIR3 ... CIR1010 CIR1011 \\\n", - "0 311.646447 330.646447 140.646447 ... 197.646447 87.353553 \n", - "1 163.353553 199.353553 136.353553 ... 187.353553 212.646447 \n", - "2 240.353553 233.353553 81.353553 ... 124.353553 329.353553 \n", - "3 246.646447 406.646447 224.646447 ... 433.646447 396.646447 \n", - "4 239.353553 57.353553 19.353553 ... 87.353553 178.353553 \n", - "... ... ... ... ... ... ... \n", - "5995 277.646447 279.646447 278.353553 ... 193.353553 417.646447 \n", - "5996 304.646447 247.646447 162.353553 ... 211.353553 144.353553 \n", - "5997 242.353553 228.353553 188.646447 ... 253.646447 191.646447 \n", - "5998 210.353553 75.353553 246.353553 ... 86.353553 123.353553 \n", - "5999 366.646447 744.646447 717.646447 ... 726.646447 366.646447 \n", - "\n", - " CIR1012 CIR1013 CIR1014 CIR1015 RX_Level \\\n", - "0 295.646447 504.646447 306.646447 0.000000 -27.806709 \n", - "1 202.353553 89.353553 103.353553 0.000000 -23.050836 \n", - "2 207.353553 96.353553 218.353553 0.353553 -28.334789 \n", - "3 289.646447 154.646447 341.646447 255.646447 -33.611812 \n", - "4 313.646447 247.353553 292.353553 256.000000 -21.081660 \n", - "... ... ... ... ... ... \n", - "5995 242.646447 225.646447 256.353553 0.000000 -21.648732 \n", - "5996 47.353553 110.353553 82.353553 0.000000 -20.809477 \n", - "5997 180.646447 445.646447 299.646447 0.000000 -41.462381 \n", - "5998 522.353553 295.353553 223.353553 256.353553 -41.296123 \n", - "5999 802.646447 818.646447 466.646447 767.646447 -23.907380 \n", - "\n", - " First_Path_Power_Level SNR Total_Distance \n", - "0 -32.018158 185.234375 120371.292417 \n", - "1 -34.255986 296.375000 135265.933614 \n", - "2 -43.509715 244.983333 153365.885081 \n", - "3 -41.706556 115.105263 125802.050979 \n", - "4 -23.834943 167.352941 110697.999893 \n", - "... ... ... ... \n", - "5995 -24.337520 104.031250 110297.192886 \n", - "5996 -28.059910 165.250000 106982.743632 \n", - "5997 -43.758684 19.930556 122190.602961 \n", - "5998 -42.910043 20.708333 132871.634243 \n", - "5999 -32.863387 162.785714 234026.967141 \n", - "\n", - "[41997 rows x 1026 columns]\n", - "Data loaded and cleaned successfully.\n", - "Saving cleaned data to pickle file...\n", - "Cleaned data saved to pickle file successfully.\n", + "Data loaded successfully.\n", "First few rows of the data:\n", " NLOS RANGE FP_IDX MAX_NOISE FRAME_LEN PREAM_LEN CIR0 \\\n", - "0 0 3.90 745.0 967.0 2 0 128.646447 \n", - "1 0 0.66 749.0 1133.0 0 0 117.353553 \n", - "2 1 7.86 746.0 894.0 0 0 433.353553 \n", - "3 1 3.48 750.0 1127.0 2 0 465.646447 \n", - "4 0 1.19 746.0 1744.0 0 0 259.353553 \n", + "0 1 6.18 749.0 3668.0 2 0 747.646447 \n", + "1 1 4.54 741.0 1031.0 2 0 123.353553 \n", + "2 1 4.39 744.0 796.0 0 0 439.646447 \n", + "3 1 1.27 748.0 1529.0 2 0 233.353553 \n", + "4 0 1.16 743.0 2022.0 0 0 82.353553 \n", "\n", " CIR1 CIR2 CIR3 ... CIR1010 CIR1011 \\\n", - "0 311.646447 330.646447 140.646447 ... 197.646447 87.353553 \n", - "1 163.353553 199.353553 136.353553 ... 187.353553 212.646447 \n", - "2 240.353553 233.353553 81.353553 ... 124.353553 329.353553 \n", - "3 246.646447 406.646447 224.646447 ... 433.646447 396.646447 \n", - "4 239.353553 57.353553 19.353553 ... 87.353553 178.353553 \n", + "0 367.353553 744.646447 717.646447 ... 726.646447 367.353553 \n", + "1 470.646447 409.353553 332.353553 ... 491.353553 403.646447 \n", + "2 447.646447 130.353553 96.353553 ... 271.646447 73.353553 \n", + "3 239.353553 175.646447 532.646447 ... 225.353553 154.646447 \n", + "4 219.646447 110.646447 293.353553 ... 132.353553 131.353553 \n", "\n", " CIR1012 CIR1013 CIR1014 CIR1015 RX_Level \\\n", - "0 295.646447 504.646447 306.646447 0.000000 -27.806709 \n", - "1 202.353553 89.353553 103.353553 0.000000 -23.050836 \n", - "2 207.353553 96.353553 218.353553 0.353553 -28.334789 \n", - "3 289.646447 154.646447 341.646447 255.646447 -33.611812 \n", - "4 313.646447 247.353553 292.353553 256.000000 -21.081660 \n", + "0 802.646447 818.646447 466.646447 767.646447 -33.465374 \n", + "1 334.353553 210.353553 102.353553 0.353553 -34.892422 \n", + "2 125.353553 169.353553 182.353553 0.000000 -38.436975 \n", + "3 171.646447 277.646447 317.646447 0.000000 -21.918230 \n", + "4 102.353553 126.353553 162.646447 0.353553 -21.603535 \n", "\n", " First_Path_Power_Level SNR Total_Distance \n", - "0 -32.018158 185.234375 120371.292417 \n", - "1 -34.255986 296.375000 135265.933614 \n", - "2 -43.509715 244.983333 153365.885081 \n", - "3 -41.706556 115.105263 125802.050979 \n", - "4 -23.834943 167.352941 110697.999893 \n", + "0 -39.074609 37.700000 234035.764530 \n", + "1 -53.179491 95.794118 127050.760471 \n", + "2 -49.812107 55.384615 115175.236492 \n", + "3 -25.863535 200.859375 101750.988607 \n", + "4 -23.232193 152.723684 119190.284232 \n", "\n", "[5 rows x 1026 columns]\n", "Column headers:\n", @@ -892,12 +735,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:01:51.078701Z", - "start_time": "2024-03-20T10:01:30.817851Z" + "end_time": "2024-03-20T11:36:26.311103Z", + "start_time": "2024-03-20T11:36:22.707131Z" } }, "id": "79c2c23691b26753", - "execution_count": 13 + "execution_count": 81 }, { "cell_type": "code", @@ -934,858 +777,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.171209Z", - "start_time": "2024-03-19T14:36:34.167079Z" + "end_time": "2024-03-20T11:36:26.316699Z", + "start_time": "2024-03-20T11:36:26.312417Z" } }, "id": "12e16974341e6266", - "execution_count": 39 - }, - { - "cell_type": "markdown", - "source": [ - "The selected code is performing data standardization, which is a common preprocessing step in many machine learning workflows. \n", - "\n", - "The purpose of standardization is to transform the data such that it has a mean of 0 and a standard deviation of 1. This is done to ensure that all features have the same scale, which is a requirement for many machine learning algorithms.\n", - "\n", - "The mathematical formulas used in this process are as follows:\n", - "\n", - "1. Calculate the mean (μ) of the data:\n", - "\n", - "$$\n", - "\\mu = \\frac{1}{n} \\sum_{i=1}^{n} x_i\n", - "$$\n", - "Where:\n", - "- $n$ is the number of observations in the data\n", - "- $x_i$ is the value of the $i$-th observation\n", - "- $\\sum$ denotes the summation over all observations\n", - "\n", - "2. Standardize the data by subtracting the mean from each observation and dividing by the standard deviation:\n", - "\n", - "$$\n", - "\\text{Data}_i = \\frac{x_i - \\mu}{\\sigma}\n", - "$$\n", - "Where:\n", - "- $\\text{Data}_i$ is the standardized value of the $i$-th observation\n", - "- $\\sigma$ is the standard deviation of the data\n", - "- $x_i$ is the value of the $i$-th observation\n", - "- $\\mu$ is the mean of the data\n", - "\n", - "The `StandardScaler` class from the `sklearn.preprocessing` module is used to perform this standardization. The `fit_transform` method is used to calculate the mean and standard deviation of the data and then perform the standardization.\n", - "\n", - "**Note:** By setting the explained variance to 0.95, we are saying that we want to choose the smallest number of principal components such that 95% of the variance in the original data is retained. This means that the transformed data will retain 95% of the information of the original data, while potentially having fewer dimensions.\n" - ], - "metadata": { - "collapsed": false - }, - "id": "b36814c942066d6" - }, - { - "cell_type": "markdown", - "source": [ - "## Data Mining / Machine Learning\n", - "\n", - "### I. Supervised Learning\n", - "- **Decision**: Supervised learning is used due to the labeled dataset.\n", - "- **Algorithm**: Random Forest Classifier is preferred for its performance in classification tasks.\n", - "\n", - "### II. Training/Test Split Ratio\n", - "- **Decision**: 70:30 split is chosen for training/test dataset.\n", - "- **Reasoning**: This split ensures sufficient data for training and testing.\n", - "\n", - "### III. Performance Metrics\n", - "- **Classification Accuracy**: Measures the proportion of correctly classified instances.\n", - "- **Confusion Matrix**: Provides a summary of predicted and actual classes.\n", - "- **Classification Report**: Provides detailed metrics such as precision, recall, F1-score, and support for each class.\n", - "\n", - "The Random Forest Classifier is trained on the training set and evaluated on the test set using accuracy and classification report metrics.\n" - ], - "metadata": { - "collapsed": false - }, - "id": "8fefd253728ea2f0" - }, - { - "cell_type": "markdown", - "source": [ - "# Split the data into training and testing sets\n", - "\n", - "The next step is to split the data into training and testing sets. This is a common practice in machine learning, where the training set is used to train the model, and the testing set is used to evaluate its performance.\n", - "\n", - "We will use the `train_test_split` function from the `sklearn.model_selection` module to split the data into training and testing sets. We will use 70% of the data for training and 30% for testing, which is a common split ratio." - ], - "metadata": { - "collapsed": false - }, - "id": "7d64d6490fa1c2c2" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.model_selection import train_test_split\n", - "# from tensorflow.keras.utils import to_categorical\n", - "\n", - "# Assuming 'NLOS' is your target column\n", - "# y = data['NLOS']\n", - "\n", - "# Convert labels to categorical one-hot encoding\n", - "# y_categorical = to_categorical(y, num_classes=2)\n", - "\n", - "# Now split the data\n", - "# X_train, X_test, y_train, y_test = train_test_split(data, y_categorical, test_size=0.2)\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.176671Z", - "start_time": "2024-03-19T14:36:34.172145Z" - } - }, - "id": "54d2a6506b584a03", - "execution_count": 40 - }, - { - "cell_type": "markdown", - "source": [ - "# Train a Random Forest Classifier\n", - "\n", - "The next step is to train a machine learning model on the training data. We will use the `RandomForestClassifier` class from the `sklearn.ensemble` module to train a random forest classifier.\n", - "\n", - "The random forest classifier is an ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees.\n", - "\n", - "We will use the `fit` method of the `RandomForestClassifier` object to train the model on the training data." - ], - "metadata": { - "collapsed": false - }, - "id": "ab55160e30fd6f99" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.ensemble import RandomForestClassifier\n", - "# \n", - "# # Initialize the classifier with parameters to prevent overfitting\n", - "# classifier = RandomForestClassifier(n_estimators=200, max_depth=10, min_samples_split=10, min_samples_leaf=5, max_features='sqrt')\n", - "# \n", - "# loaded_model = train_and_save_model(classifier, X_train, y_train, 'random_forest_classifier.pkl')\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.180663Z", - "start_time": "2024-03-19T14:36:34.178318Z" - } - }, - "id": "dc485f3de9f8936f", - "execution_count": 41 - }, - { - "cell_type": "markdown", - "source": [ - "# Evaluate the Model\n", - "\n", - "To evaluate the performance of the trained model on the testing data, we will use the `predict` method of the `RandomForestClassifier` object to make predictions on the testing data. We will then use the `accuracy_score` and `classification_report` functions from the `sklearn.metrics` module to calculate the accuracy and generate a classification report.\n", - "\n", - "- **Accuracy:** The accuracy score function calculates the proportion of correctly classified instances.\n", - "\n", - "- **Precision:** The ratio of correctly predicted positive observations to the total predicted positive observations. It is calculated as:\n", - "\n", - " $$\n", - " \\text{Precision} = \\frac{\\text{True Positives}}{\\text{True Positives} + \\text{False Positives}}\n", - " $$\n", - "\n", - "- **Recall:** The ratio of correctly predicted positive observations to all observations in the actual class. It is calculated as:\n", - "\n", - " $$\n", - " \\text{Recall} = \\frac{\\text{True Positives}}{\\text{True Positives} + \\text{False Negatives}}\n", - " $$\n", - "\n", - "- **F1 Score:** The weighted average of precision and recall. It is calculated as:\n", - "\n", - " $$\n", - " \\text{F1 Score} = 2 \\times \\frac{\\text{Precision} \\times \\text{Recall}}{\\text{Precision} + \\text{Recall}}\n", - " $$\n", - "\n", - "- **Support:** The number of actual occurrences of the class in the dataset.\n", - "\n", - "The classification report provides a summary of the precision, recall, F1-score, and support for each class in the testing data, giving insight into how well the model is performing for each class.\n" - ], - "metadata": { - "collapsed": false - }, - "id": "424cc5954c9e81cc" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "\n", - "# Make predictions on the test set using the loaded model\n", - "# y_pred = loaded_model.predict(X_test)\n", - "# \n", - "# # Evaluate the loaded model\n", - "# accuracy = accuracy_score(y_test, y_pred)\n", - "# classification_rep = classification_report(y_test, y_pred)\n", - "# cross_val_score = cross_val_score(loaded_model, X_test, y_test, cv=5)\n", - "# \n", - "# print(f\"Accuracy: {accuracy}\")\n", - "# print(f\"Classification Report:\\n{classification_rep}\")\n", - "# print(f\"Cross Validation Score: {cross_val_score}\")\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.183956Z", - "start_time": "2024-03-19T14:36:34.181545Z" - } - }, - "id": "702b4f40dda16736", - "execution_count": 42 - }, - { - "cell_type": "markdown", - "source": [ - "# Visualize a Decision Tree from the Random Forest\n" - ], - "metadata": { - "collapsed": false - }, - "id": "41957f9babb74a3" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.tree import plot_tree\n", - "# import matplotlib.pyplot as plt\n", - "# \n", - "# # Select one tree from the forest\n", - "# estimator = loaded_model.estimators_[0]\n", - "# \n", - "# plt.figure(figsize=(100, 100))\n", - "# plot_tree(estimator,\n", - "# filled=True,\n", - "# rounded=True,\n", - "# class_names=['NLOS', 'LOS'],\n", - "# feature_names=data.columns,\n", - "# max_depth=5) # Limit the depth of the tree\n", - "# plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.187211Z", - "start_time": "2024-03-19T14:36:34.185001Z" - } - }, - "id": "1f6f826d6234591c", - "execution_count": 43 - }, - { - "cell_type": "markdown", - "source": [ - "# Support Vector Machine (SVM)" - ], - "metadata": { - "collapsed": false - }, - "id": "eef3be2c3026a909" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# import os\n", - "# from sklearn.svm import SVC\n", - "# import pickle\n", - "# \n", - "# svm = SVC(kernel='linear', random_state=42, verbose=True)\n", - "# loaded_model = train_and_save_model(svm, X_train, y_train, 'svm_classifier.pkl')\n", - "# \n", - "# # Predict the labels for the test set with each model\n", - "# y_pred_svm = loaded_model.predict(X_test)\n", - "# \n", - "# # Calculate the accuracy of each model\n", - "# accuracy_svm = accuracy_score(y_test, y_pred_svm)\n", - "# \n", - "# # Print the accuracy of each model\n", - "# print(f\"Accuracy of SVM: {accuracy_svm}\")" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.190410Z", - "start_time": "2024-03-19T14:36:34.188127Z" - } - }, - "id": "c970b0c1593d955c", - "execution_count": 44 - }, - { - "cell_type": "markdown", - "source": [ - "# Logistic Regression" - ], - "metadata": { - "collapsed": false - }, - "id": "cccaf1db0d5060a8" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.linear_model import LogisticRegression\n", - "# from sklearn.model_selection import cross_val_score\n", - "# \n", - "# # Logistic Regression with L2 regularization\n", - "# log_reg = LogisticRegression(penalty='l2', C=0.1)\n", - "# \n", - "# # Use the train_and_save_model function to train and save the model\n", - "# loaded_model = train_and_save_model(log_reg, X_train, y_train, 'logistic_regression_model.pkl')" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.193604Z", - "start_time": "2024-03-19T14:36:34.191388Z" - } - }, - "id": "ee7506f4aa805faf", - "execution_count": 45 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "\n", - "# # Predict on the test set\n", - "# y_pred_log_reg = loaded_model.predict(X_test)\n", - "# \n", - "# # Calculate accuracy\n", - "# accuracy_log_reg = accuracy_score(y_test, y_pred_log_reg)\n", - "# print(f\"Accuracy of Logistic Regression: {accuracy_log_reg}\")\n", - "# \n", - "# # Perform 5-fold cross validation\n", - "# scores = cross_val_score(log_reg, X_train, y_train, cv=5)\n", - "# print(f\"Cross-validated scores: {scores}\")" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.196677Z", - "start_time": "2024-03-19T14:36:34.194470Z" - } - }, - "id": "a44d38efa4b86d93", - "execution_count": 46 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.metrics import roc_curve, auc\n", - "# import matplotlib.pyplot as plt\n", - "# \n", - "# # Compute ROC curve and ROC area for each class\n", - "# fpr, tpr, _ = roc_curve(y_test, y_pred_log_reg)\n", - "# roc_auc = auc(fpr, tpr)\n", - "# \n", - "# plt.figure()\n", - "# lw = 2\n", - "# plt.plot(fpr, tpr, color='darkorange',\n", - "# lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n", - "# plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n", - "# plt.xlim([0.0, 1.0])\n", - "# plt.ylim([0.0, 1.05])\n", - "# plt.xlabel('False Positive Rate')\n", - "# plt.ylabel('True Positive Rate')\n", - "# plt.title('Receiver Operating Characteristic')\n", - "# plt.legend(loc=\"lower right\")\n", - "# plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.201209Z", - "start_time": "2024-03-19T14:36:34.198983Z" - } - }, - "id": "a3646a4965b0707c", - "execution_count": 47 - }, - { - "cell_type": "markdown", - "source": [ - "# Gradient Boosting Classifier" - ], - "metadata": { - "collapsed": false - }, - "id": "aeaf5eeffa7ec104" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.ensemble import GradientBoostingClassifier\n", - "# \n", - "# # Gradient Boosting Classifier\n", - "# gbc = GradientBoostingClassifier()\n", - "# \n", - "# # Use the train_and_save_model function to train and save the model\n", - "# loaded_model = train_and_save_model(gbc, X_train, y_train, 'gradient_boosting_classifier.pkl')\n", - "# " - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.204277Z", - "start_time": "2024-03-19T14:36:34.202108Z" - } - }, - "id": "c7ecae5d021ad44f", - "execution_count": 48 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# y_pred_gbc = loaded_model.predict(X_test)\n", - "# accuracy_gbc = accuracy_score(y_test, y_pred_gbc)\n", - "# print(f\"Accuracy of Gradient Boosting Classifier: {accuracy_gbc}\")\n", - "# " - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.207167Z", - "start_time": "2024-03-19T14:36:34.205128Z" - } - }, - "id": "4a8a1c3a7289ef7a", - "execution_count": 49 - }, - { - "cell_type": "markdown", - "source": [ - "# K-Nearest Neighbors (KNN, K=15)\n", - "\n", - "This code block is implementing the K-Nearest Neighbors (KNN) algorithm for classification. The KNN algorithm is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until function evaluation. \n", - "\n", - "The KNN algorithm works by finding the distances between a query and all the examples in the data, selecting the specified number examples (K) closest to the query, then votes for the most frequent label (in the case of classification) or averages the labels (in the case of regression). \n", - "\n", - "The number of neighbors, K, is set to 15 in this case. This means that the algorithm looks at the 15 nearest neighbors to decide the class of the test instance. \n", - "\n", - "The mathematical concept behind KNN is the Euclidean distance. Given two points P1(x1, y1) and P2(x2, y2) in a 2D space, the Euclidean distance between P1 and P2 is calculated as:\n", - "\n", - "$$\n", - "\\text{Distance} = \\sqrt{(x2 - x1)^2 + (y2 - y1)^2}\n", - "$$\n", - "In higher dimensional space, the formula is generalized as:\n", - "$$\n", - "\\text{Distance} = \\sqrt{\\sum_{i=1}^{n} (x_i - y_i)^2}\n", - "$$\n", - "Where:\n", - "- $n$ is the number of dimensions\n", - "- $x_i$ and $y_i$ are the $i$-th dimensions of the two points\n" - ], - "metadata": { - "collapsed": false - }, - "id": "25102568a6e5c457" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.neighbors import KNeighborsClassifier\n", - "# \n", - "# # K-Nearest Neighbors\n", - "# knn = KNeighborsClassifier(n_neighbors=13)\n", - "# loaded_model = train_and_save_model(knn, X_train, y_train, 'knn_classifier.pkl')\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.210206Z", - "start_time": "2024-03-19T14:36:34.208116Z" - } - }, - "id": "705c62e64bf6d614", - "execution_count": 50 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# y_pred_knn = loaded_model.predict(X_test)\n", - "# accuracy_knn = accuracy_score(y_test, y_pred_knn)\n", - "# print(f\"Accuracy of K-Nearest Neighbors: {accuracy_knn}\")" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.213117Z", - "start_time": "2024-03-19T14:36:34.211022Z" - } - }, - "id": "cf4df4ef7bbfd74", - "execution_count": 51 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.model_selection import GridSearchCV\n", - "# \n", - "# # Define the parameter values that should be searched\n", - "# k_range = list(range(1, 31))\n", - "# \n", - "# # Create a parameter grid: map the parameter names to the values that should be searched\n", - "# param_grid = dict(n_neighbors=k_range)\n", - "# \n", - "# # Instantiate the grid\n", - "# grid = GridSearchCV(knn, param_grid, cv=10, scoring='accuracy')\n", - "# \n", - "# # Fit the grid with data\n", - "# grid.fit(X_train, y_train)\n", - "# \n", - "# # View the complete results\n", - "# grid.cv_results_\n", - "# \n", - "# # Examine the best model\n", - "# print(grid.best_score_)\n", - "# print(grid.best_params_)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.216452Z", - "start_time": "2024-03-19T14:36:34.214045Z" - } - }, - "id": "faabcf63e34005a9", - "execution_count": 52 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# import matplotlib.pyplot as plt\n", - "# import numpy as np\n", - "# \n", - "# # Apply PCA to reduce dimensionality to 2D\n", - "# pca = PCA(n_components=2)\n", - "# X_test_2d = pca.fit_transform(X_test)\n", - "# \n", - "# # Print the number of features\n", - "# print(f\"Original number of features: {X_test.shape[1]}, reduced number of features: {X_test_2d.shape[1]}\")\n", - "# \n", - "# # Create a scatter plot\n", - "# plt.figure(figsize=(10, 7))\n", - "# \n", - "# # Create a color map\n", - "# cmap = plt.cm.viridis\n", - "# \n", - "# # Plot NLOS points\n", - "# nlos = plt.scatter(X_test_2d[y_pred_knn == 1, 0], X_test_2d[y_pred_knn == 1, 1], c='blue', label='NLOS')\n", - "# \n", - "# # Plot LOS points\n", - "# los = plt.scatter(X_test_2d[y_pred_knn == 0, 0], X_test_2d[y_pred_knn == 0, 1], c='red', label='LOS')\n", - "# \n", - "# # Add labels\n", - "# plt.xlabel('Principal Component 1')\n", - "# plt.ylabel('Principal Component 2')\n", - "# plt.title('2D Scatter Plot for LOS and NLOS')\n", - "# \n", - "# # Add a legend\n", - "# plt.legend(handles=[nlos, los])\n", - "# \n", - "# plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.219790Z", - "start_time": "2024-03-19T14:36:34.217307Z" - } - }, - "id": "2ed22b3fc59f74e6", - "execution_count": 53 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.neighbors import KNeighborsClassifier\n", - "# from sklearn.metrics import accuracy_score\n", - "# import matplotlib.pyplot as plt\n", - "# \n", - "# # Define the list of numbers of neighbors (from 1-20)\n", - "# num_neighbors = np.arange(1, 100, 2)\n", - "# \n", - "# # Initialize the lists to store the accuracies\n", - "# train_acc = []\n", - "# test_acc = []\n", - "# \n", - "# # Loop over the different numbers of neighbors\n", - "# for k in num_neighbors:\n", - "# # Initialize the KNN classifier\n", - "# clf = KNeighborsClassifier(n_neighbors=k)\n", - "# \n", - "# # Fit the classifier on the training data\n", - "# clf.fit(X_train, y_train)\n", - "# \n", - "# # Make predictions on the training and test data\n", - "# y_pred_train = clf.predict(X_train)\n", - "# y_pred_test = clf.predict(X_test)\n", - "# \n", - "# # Calculate the accuracies\n", - "# train_acc.append(accuracy_score(y_train, y_pred_train))\n", - "# test_acc.append(accuracy_score(y_test, y_pred_test))\n", - "# \n", - "# # Plot the accuracies\n", - "# plt.figure(figsize=(10, 5))\n", - "# plt.plot(num_neighbors, train_acc, 'ro-', num_neighbors, test_acc, 'bv--')\n", - "# plt.legend(['Training Accuracy', 'Test Accuracy'])\n", - "# plt.xlabel('Number of Neighbors')\n", - "# plt.ylabel('Accuracy')\n", - "# plt.title('Training and Test Accuracy for Different Numbers of Neighbors in KNN')\n", - "# plt.grid()\n", - "# plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.224221Z", - "start_time": "2024-03-19T14:36:34.220898Z" - } - }, - "id": "4ac86c268055c1b8", - "execution_count": 54 - }, - { - "cell_type": "markdown", - "source": [ - "# Naive Bayes" - ], - "metadata": { - "collapsed": false - }, - "id": "5b9b66f92968957c" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.naive_bayes import GaussianNB\n", - "# \n", - "# # Naive Bayes\n", - "# nb = GaussianNB()\n", - "# loaded_model = train_and_save_model(nb, X_train, y_train, 'naive_bayes_classifier.pkl')" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.308314Z", - "start_time": "2024-03-19T14:36:34.225481Z" - } - }, - "id": "3d984228fb1d3026", - "execution_count": 55 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# y_pred_nb = loaded_model.predict(X_test)\n", - "# accuracy_nb = accuracy_score(y_test, y_pred_nb)\n", - "# print(f\"Accuracy of Naive Bayes: {accuracy_nb}\")" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.391920Z", - "start_time": "2024-03-19T14:36:34.309741Z" - } - }, - "id": "98cd350871bc3201", - "execution_count": 56 - }, - { - "cell_type": "markdown", - "source": [ - "# K-Means Clustering" - ], - "metadata": { - "collapsed": false - }, - "id": "92c8498137a5e32e" - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.cluster import KMeans\n", - "# \n", - "# # K-Means Clustering\n", - "# kmeans = KMeans(n_clusters=2, max_iter=600)\n", - "# loaded_model = train_and_save_model(kmeans, X_train, y_train, 'kmeans_clustering.pkl')" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.395785Z", - "start_time": "2024-03-19T14:36:34.393071Z" - } - }, - "id": "305a796294814705", - "execution_count": 57 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# y_pred_kmeans = loaded_model.predict(X_test)\n", - "# accuracy_kmeans = accuracy_score(y_test, y_pred_kmeans)\n", - "# print(f\"Accuracy of K-Means Clustering: {accuracy_kmeans}\")\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.399666Z", - "start_time": "2024-03-19T14:36:34.397013Z" - } - }, - "id": "494bb537046bf5a7", - "execution_count": 58 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# labels = loaded_model.labels_\n", - "# # Print the data table with the cluster labels\n", - "# print(f\"Data table with cluster labels:\\n{pd.concat([X_test, pd.DataFrame({'Cluster': labels})], axis=1)}\")\n", - "# \n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.403493Z", - "start_time": "2024-03-19T14:36:34.400833Z" - } - }, - "id": "62401c8d1a4d61cc", - "execution_count": 59 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.cluster import KMeans\n", - "# from sklearn.metrics import accuracy_score\n", - "# from sklearn.decomposition import PCA\n", - "# from mpl_toolkits.mplot3d import Axes3D\n", - "# import matplotlib.pyplot as plt\n", - "# \n", - "# # Define the range of cluster numbers\n", - "# cluster_range = range(1, 15)\n", - "# \n", - "# # For each number of clusters\n", - "# for n_clusters in cluster_range:\n", - "# # Create a KMeans model\n", - "# kmeans = KMeans(n_clusters=n_clusters, max_iter=600)\n", - "# \n", - "# # Fit the model to the training data\n", - "# kmeans.fit(X_train)\n", - "# \n", - "# # Make predictions on the test data\n", - "# y_pred_kmeans = kmeans.predict(X_test)\n", - "# \n", - "# # Calculate the accuracy of the model\n", - "# accuracy_kmeans = accuracy_score(y_test, y_pred_kmeans)\n", - "# \n", - "# # Print the number of clusters and the corresponding accuracy\n", - "# print(f\"Number of clusters: {n_clusters}, Accuracy: {accuracy_kmeans}\")\n", - "# \n", - "# # Apply PCA to reduce dimensionality to 3D\n", - "# pca = PCA(n_components=3)\n", - "# X_test_3d = pca.fit_transform(X_test)\n", - "# \n", - "# # Create a 3D scatter plot\n", - "# fig = plt.figure(figsize=(10, 7))\n", - "# ax = fig.add_subplot(111, projection='3d')\n", - "# \n", - "# # Create a color map\n", - "# cmap = plt.cm.get_cmap('viridis', n_clusters) # We use 'viridis' colormap and we specify that we have n_clusters\n", - "# \n", - "# # Plot the points with colors according to their cluster assignment\n", - "# scatter = ax.scatter(X_test_3d[:, 0], X_test_3d[:, 1], X_test_3d[:, 2], c=y_pred_kmeans, cmap=cmap)\n", - "# \n", - "# # Add labels\n", - "# ax.set_xlabel('Principal Component 1')\n", - "# ax.set_ylabel('Principal Component 2')\n", - "# ax.set_zlabel('Principal Component 3')\n", - "# plt.title(f'3D Visualization of {n_clusters} Clusters')\n", - "# \n", - "# # Display the plot\n", - "# plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.408739Z", - "start_time": "2024-03-19T14:36:34.404634Z" - } - }, - "id": "f0f5284581e70e6e", - "execution_count": 60 - }, - { - "cell_type": "code", - "outputs": [], - "source": [ - "# from sklearn.decomposition import PCA\n", - "# import matplotlib.pyplot as plt\n", - "# \n", - "# # Apply PCA to reduce dimensionality to 2D\n", - "# pca = PCA(n_components=2)\n", - "# X_test_2d = pca.fit_transform(X_test)\n", - "# \n", - "# # Predict the cluster labels for the data points you're plotting\n", - "# labels = loaded_model.predict(X_test)\n", - "# \n", - "# # Create a scatter plot\n", - "# plt.figure(figsize=(10, 7))\n", - "# \n", - "# # Create a color map\n", - "# cmap = plt.cm.get_cmap('viridis', 2) # We use 'viridis' colormap and we specify that we have 2 clusters\n", - "# \n", - "# # Plot the points with colors according to their cluster assignment\n", - "# plt.scatter(X_test_2d[:, 0], X_test_2d[:, 1], c=labels, cmap=cmap)\n", - "# \n", - "# # Add labels\n", - "# plt.xlabel('Principal Component 1')\n", - "# plt.ylabel('Principal Component 2')\n", - "# plt.title('2D Visualization of Clusters')\n", - "# \n", - "# # Display the plot\n", - "# plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-03-19T14:36:34.412341Z", - "start_time": "2024-03-19T14:36:34.409690Z" - } - }, - "id": "82c7ba8cbb2aa17a", - "execution_count": 61 + "execution_count": 82 }, { "cell_type": "markdown", @@ -1820,39 +817,71 @@ { "cell_type": "code", "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-03-19 22:36:35.691708: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", - "2024-03-19 22:36:35.692208: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2256] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n", - "Skipping registering GPU devices...\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Epoch 1/20\n", - "1050/1050 [==============================] - 26s 23ms/step - loss: 0.6720 - accuracy: 0.6929 - val_loss: 0.5328 - val_accuracy: 0.7787\n", - "Epoch 2/20\n", - "1050/1050 [==============================] - 24s 22ms/step - loss: 0.5543 - accuracy: 0.7698 - val_loss: 0.4913 - val_accuracy: 0.7969\n", - "Epoch 3/20\n", - "1050/1050 [==============================] - 28s 26ms/step - loss: 0.5277 - accuracy: 0.7864 - val_loss: 0.4936 - val_accuracy: 0.7923\n", - "Epoch 4/20\n", - "1050/1050 [==============================] - 24s 23ms/step - loss: 0.5123 - accuracy: 0.7893 - val_loss: 0.4852 - val_accuracy: 0.7951\n", - "Epoch 5/20\n", - "1050/1050 [==============================] - 28s 27ms/step - loss: 0.5005 - accuracy: 0.7973 - val_loss: 0.4921 - val_accuracy: 0.7888\n", - "Epoch 6/20\n", - "1050/1050 [==============================] - 26s 25ms/step - loss: 0.4895 - accuracy: 0.8001 - val_loss: 0.4799 - val_accuracy: 0.7936\n", - "Epoch 7/20\n", - "1050/1050 [==============================] - 27s 26ms/step - loss: 0.4809 - accuracy: 0.8041 - val_loss: 0.4597 - val_accuracy: 0.8007\n", - "Epoch 8/20\n", - "1050/1050 [==============================] - 26s 25ms/step - loss: 0.4758 - accuracy: 0.8053 - val_loss: 0.4803 - val_accuracy: 0.7943\n", - "Epoch 9/20\n", - "1050/1050 [==============================] - 27s 26ms/step - loss: 0.4697 - accuracy: 0.8102 - val_loss: 0.4687 - val_accuracy: 0.7975\n", - "Epoch 10/20\n", - "1005/1050 [===========================>..] - ETA: 1s - loss: 0.4632 - accuracy: 0.8108" + "Epoch 1/30\n", + "1050/1050 [==============================] - 26s 23ms/step - loss: 0.8091 - accuracy: 0.6635 - val_loss: 0.5219 - val_accuracy: 0.8042\n", + "Epoch 2/30\n", + "1050/1050 [==============================] - 26s 24ms/step - loss: 0.5925 - accuracy: 0.7790 - val_loss: 0.4711 - val_accuracy: 0.8326\n", + "Epoch 3/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.5297 - accuracy: 0.8096 - val_loss: 0.4609 - val_accuracy: 0.8440\n", + "Epoch 4/30\n", + "1050/1050 [==============================] - 26s 25ms/step - loss: 0.5034 - accuracy: 0.8216 - val_loss: 0.4540 - val_accuracy: 0.8443\n", + "Epoch 5/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4806 - accuracy: 0.8330 - val_loss: 0.4468 - val_accuracy: 0.8487\n", + "Epoch 6/30\n", + "1050/1050 [==============================] - 27s 25ms/step - loss: 0.4720 - accuracy: 0.8358 - val_loss: 0.4471 - val_accuracy: 0.8476\n", + "Epoch 7/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4606 - accuracy: 0.8416 - val_loss: 0.4418 - val_accuracy: 0.8496\n", + "Epoch 8/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.4517 - accuracy: 0.8451 - val_loss: 0.4389 - val_accuracy: 0.8519\n", + "Epoch 9/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4418 - accuracy: 0.8500 - val_loss: 0.4360 - val_accuracy: 0.8527\n", + "Epoch 10/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4380 - accuracy: 0.8526 - val_loss: 0.4345 - val_accuracy: 0.8535\n", + "Epoch 11/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4379 - accuracy: 0.8535 - val_loss: 0.4312 - val_accuracy: 0.8540\n", + "Epoch 12/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.4325 - accuracy: 0.8527 - val_loss: 0.4287 - val_accuracy: 0.8564\n", + "Epoch 13/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4247 - accuracy: 0.8553 - val_loss: 0.4308 - val_accuracy: 0.8533\n", + "Epoch 14/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4212 - accuracy: 0.8583 - val_loss: 0.4250 - val_accuracy: 0.8557\n", + "Epoch 15/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4187 - accuracy: 0.8575 - val_loss: 0.4292 - val_accuracy: 0.8537\n", + "Epoch 16/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4173 - accuracy: 0.8586 - val_loss: 0.4223 - val_accuracy: 0.8575\n", + "Epoch 17/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4112 - accuracy: 0.8608 - val_loss: 0.4208 - val_accuracy: 0.8555\n", + "Epoch 18/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.4089 - accuracy: 0.8591 - val_loss: 0.4201 - val_accuracy: 0.8545\n", + "Epoch 19/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4078 - accuracy: 0.8604 - val_loss: 0.4178 - val_accuracy: 0.8556\n", + "Epoch 20/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4061 - accuracy: 0.8635 - val_loss: 0.4183 - val_accuracy: 0.8581\n", + "Epoch 21/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3997 - accuracy: 0.8644 - val_loss: 0.4131 - val_accuracy: 0.8568\n", + "Epoch 22/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3959 - accuracy: 0.8646 - val_loss: 0.4125 - val_accuracy: 0.8582\n", + "Epoch 23/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3980 - accuracy: 0.8621 - val_loss: 0.4088 - val_accuracy: 0.8598\n", + "Epoch 24/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.3930 - accuracy: 0.8647 - val_loss: 0.4090 - val_accuracy: 0.8589\n", + "Epoch 25/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.3930 - accuracy: 0.8651 - val_loss: 0.4078 - val_accuracy: 0.8592\n", + "Epoch 26/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.3900 - accuracy: 0.8664 - val_loss: 0.4076 - val_accuracy: 0.8586\n", + "Epoch 27/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3877 - accuracy: 0.8665 - val_loss: 0.4098 - val_accuracy: 0.8582\n", + "Epoch 28/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3849 - accuracy: 0.8691 - val_loss: 0.4071 - val_accuracy: 0.8607\n", + "Epoch 29/30\n", + "1050/1050 [==============================] - 23s 22ms/step - loss: 0.3857 - accuracy: 0.8682 - val_loss: 0.4058 - val_accuracy: 0.8601\n", + "Epoch 30/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.3871 - accuracy: 0.8673 - val_loss: 0.4040 - val_accuracy: 0.8630\n", + "263/263 [==============================] - 1s 4ms/step\n" ] } ], @@ -1876,6 +905,13 @@ "# Split the data into training and testing sets with a 80:20 ratio\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", "\n", + "# Initialize a StandardScaler object\n", + "scaler = StandardScaler()\n", + "# Fit the scaler to the training data and transform it\n", + "X_train = scaler.fit_transform(X_train)\n", + "# Transform the testing data using the fitted scaler\n", + "X_test = scaler.transform(X_test)\n", + "\n", "# Initialize a Sequential model\n", "model = Sequential()\n", "\n", @@ -1907,7 +943,7 @@ "model.compile(loss='binary_crossentropy', optimizer=Adam(learning_rate=0.0001), metrics=['accuracy'])\n", "\n", "# Train the model\n", - "history = model.fit(X_train, y_train, epochs=20, batch_size=32, validation_data=(X_test, y_test), callbacks=[early_stopping])\n", + "history = model.fit(X_train, y_train, epochs=30, batch_size=32, validation_data=(X_test, y_test), callbacks=[early_stopping])\n", "\n", "# Evaluate the model\n", "scores = model.evaluate(X_test, y_test, verbose=0)\n", @@ -1921,17 +957,51 @@ ], "metadata": { "collapsed": false, - "is_executing": true, "ExecuteTime": { - "start_time": "2024-03-19T14:36:34.413470Z" + "end_time": "2024-03-20T11:48:39.730855Z", + "start_time": "2024-03-20T11:36:26.408455Z" } }, "id": "1c1dd203ad7db076", - "execution_count": null + "execution_count": 105 }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
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" 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test loss: 0.4039548933506012\n", + "Test accuracy: 0.8629761934280396\n", + "Classification Report: \n", + " precision recall f1-score support\n", + "\n", + " 0 0.83 0.91 0.87 4192\n", + " 1 0.90 0.82 0.86 4208\n", + "\n", + " accuracy 0.86 8400\n", + " macro avg 0.87 0.86 0.86 8400\n", + "weighted avg 0.87 0.86 0.86 8400\n" + ] + } + ], "source": [ "\n", "# Plot the training and validation accuracy over epochs\n", @@ -1961,14 +1031,50 @@ ], "metadata": { "collapsed": false, - "is_executing": true + "ExecuteTime": { + "end_time": "2024-03-20T11:48:40.119743Z", + "start_time": "2024-03-20T11:48:39.731977Z" + } }, "id": "89aa08d7d1866179", - "execution_count": null + "execution_count": 106 }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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ZZ3Jzc7O5lLvFYtGMGTM0fPhw3XPPPerfv7+uu+46/frrr/r888/l7u6uN99887JjeXl5aejQodadbbdu3XTw4EF99tlnatq06VWPUF1Nhw4dtHr1ar3++utq3bq1mjVrpoiICPXp00e33HKLOnTooCZNmuibb77RBx98cNULcgBAZbG/Mmd/JV38/cRhw4apV69eOnr0qFatWqXOnTvrjjvuuOI6f/rTn/TPf/5To0aN0p/+9Cf99NNPSklJka+vr86ePWuNmzp1qs6cOaNbb71V1113ndLT07VixQoFBgbKx8dH0sX5/fe//63HHntM/fr1U4cOHXTu3DkdOnRIH3zwgf71r3+pWbNm5doWnBPNFmqtgIAAJSUlKTExUfPmzVPz5s01evRoZWRk2Oy8JOnRRx9VmzZt9Pbbb2vBggWSLn6xuGvXrurevbvdYw8cOFDvvfeeli5dqrNnz6p58+YaMmSIRo4caY3x8vLSO++8owULFujDDz/U6tWr1aRJE/n6+lp/Y6O8fvrpJ7366qs2y0ru33LLLdad13//+19JF79kPXHixFLbSU5OLnPnddNNN8nT01NZWVk2R7BK/r9jx47WqziVCA8P15o1a/T6669rxYoVOnv2rLy9vdWxY0cNHDjwquNNmDBB9erV0zvvvKOdO3cqJCRESUlJevDBB0uNU16jRo1Senq6Fi9erLy8PN1yyy2KiIjQkCFD9O9//1v/+c9/lJ+frxYtWmjcuHF2f3gBAHuwvzJnfyVJzz33nN577z3NmzdPBQUF6tOnj6ZOnXrVf6zr37+/MjMztWbNGm3fvl2+vr565ZVXtHXrVpvG8s9//rPWrl2rVatWKTs7W97e3urVq5dGjx5t/f5w/fr1tXz5ci1cuFBbt27Vxo0b5e7urjZt2mj06NFq1KhRubcF5+RilOdb5QBQjbKzs3XzzTdr3Lhxevzxxx2dDgAAQIXQSgNwqPPnz5datmzZMkkX/xUUAACgtuI0QsCBTp06paKiois+XrduXTVp0qT6EnKAzZs3a8OGDbrtttvUoEED7dmzR++//76ioqJsTmMEADgO+yugYmi2AAe67777rvrDi7fccouWL19ejRlVP39/f7m6ulq/X+Xp6amhQ4dq3Lhxjk4NAPB/2F8BFcN3tgAH+uqrr3ThwoUrPt64cWMFBQVVY0YAAJTG/gqoGJotAAAAADABF8gAAAAAABPQbAEAAACACWi2AAAAAMAEXI2wHLKyclSeb7a5uEieno3KHY+yMadVi/msWsxn1bp0Pkvu4/Ic8bpzpte8M9UiOVc9zlSL5Fz1OFMtkv31VGS/RLNVDoYhu15Q9sajbMxp1WI+qxbzWbWYz/Jx5Dw503PkTLVIzlWPM9UiOVc9zlSLZG49nEYIAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwAAAABMQLMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAKgCb731lvz9/fXiiy9eNW7Lli26++67FRwcrL59++rTTz+tpgwBANWNZgsAgErat2+fUlJS5O/vf9W4PXv2aPz48brvvvu0ceNG3XHHHRo1apQOHTpUTZkCAKoTzRYAAJWQl5enp59+WjNmzJCHh8dVY5OTk9WtWzc98sgj8vHx0bhx49S+fXutWLGimrIFAFQnmi0AACph+vTpio6OVmRkZJmxqampioiIsFkWFRWl1NRUk7IDADhSHUcnAMA8FouLLBaXUstdXavv31mKiw0VFxvVNh5QnTZt2qRvv/1Wf//738sVn5mZKS8vL5tlnp6eyszMtHtsl9J/2uVmsbjIpQIbKFmlTh2LjEr8WRuG498XSmqpzDzWJM5UjzPVIjlXPc5Ui2R/PRWpm2YLcFIWi4s8mjRQncs0Vk2bNqy2PAqLinXmt7MO/2AFVLUTJ07oxRdf1JIlS3TNNddU+/ieno0qvG5RsSHXy/xDTHk1aVK595DKjl+VKjOPNZEz1eNMtUjOVY8z1SKZWw/NFuCkLBYX1XG1aGzKXqWdzHVIDr7XuuvVQaGyWFxotuB0Dhw4oKysLPXv39+6rKioSF988YVWrlypb775Rq6urjbreHl5lTqKlZWVVepoV3lkZeVU6OiSq6tFTZs2dNh7Q8n7wunTeSoqKq728Uu4uFz8gFXReaxpnKkeZ6pFcq56nKkWyf56SuLtQbMFOLm0k7k6kJ7t6DQAp3Prrbfqvffes1n2zDPP6KabbtLw4cNLNVqSFBISol27dmnYsGHWZTt27FBISIjd4xuGKvVhpya8N9SED2uVnceaxpnqcaZaJOeqx5lqkcyth2YLAIAKcHd3l5+fn82yBg0aqEmTJtblEydO1HXXXafx48dLkoYOHaohQ4ZoyZIlio6O1ubNm7V//35Nnz692vMHAJiPqxECAGCSEydOKCMjw3o/LCxMs2bN0po1a3Tvvffqgw8+0IIFC0o1bQAA58CRLQAAqsjy5cuvel+SevXqpV69elVXSgAAB+LIFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAnsarZWrVqlvn37KiwsTGFhYRo4cKA+/fRT6+NDhgyRv7+/ze25556z2UZ6eroeffRRderUSREREXrppZdUWFhoE/P555+rX79+CgoKUo8ePbR+/fpSuaxcuVLdu3dXcHCwBgwYoH379tk8fuHCBcXHxys8PFyhoaEaPXq0MjMz7SkXAAAAACrMrmarefPmmjBhgtavX69169bp1ltv1ahRo3T48GFrzP3336/t27dbbxMnTrQ+VlRUpBEjRqigoEApKSmaOXOmNmzYoHnz5lljjh8/rhEjRig8PFzvvvuuHnroIU2dOlXbtm2zxmzevFmJiYkaNWqUNmzYoICAAMXFxSkrK8sak5CQoI8//lhz587V8uXLdfLkST3xxBMVmiQAAAAAsJddzVb37t0VHR2tNm3aqG3btnryySfVoEEDpaamWmPq1asnb29v683d3d362Pbt25WWlqZXXnlFgYGBio6O1tixY7Vy5Url5+dLklJSUtSyZUtNnjxZPj4+io2NVc+ePfX2229bt7N06VLdf//9iomJka+vr+Lj41WvXj2tW7dOkpSTk6N169Zp8uTJioiIUFBQkBISErR3716bXAEAAADALBX+zlZRUZE2bdqks2fPKjQ01Lr8vffeU3h4uO655x7Nnj1b586dsz6WmpoqPz8/eXl5WZdFRUUpNzdXaWlp1piIiAibsaKioqxNUn5+vg4cOKDIyMj/FWGxKDIyUnv37pUk7d+/XwUFBTYxPj4+atGiRYWaLReX8t/sjefGnJo5bzWJo+fDzHl2dA7OdLt0PgEAqM3q2LvCwYMHNWjQIF24cEENGjTQggUL5OvrK0m655571KJFC1177bU6ePCgZs2apaNHj2r+/PmSpMzMTJtGS5L1fkZGxlVjcnNzdf78eZ05c0ZFRUXy9PS0ifH09NSRI0es26hbt64aN25cKqZkHHt4ejYyNR5lY05rt6ZNGzo6BVPx+qxazCcAwFnY3Wy1bdtWGzduVE5Ojj744ANNmjRJK1askK+vrwYOHGiN8/f3l7e3t4YNG6Zjx47pxhtvrNLEq1NWVo4Mo+w4F5eLHxLKG4+yMacV5+pqqTFNzunTeSoqKnZ0GlWO12fVunQ+S+4DAFBb2d1subm5qXXr1pKkoKAgffPNN0pOTtb06dNLxXbq1EmS9OOPP+rGG2+Ul5dXqasGllwh0NvbW9LFo1iXXjUwMzNT7u7uqlevniwWi1xdXW0uhiFJWVlZ1iNiXl5eKigoUHZ2ts3RraysLOs49jAM2fVByt54lI05rf2c+fnj9Vm1mE8AgLOo9O9sFRcXWy9ucanvvvtO0v8aqZCQEB06dMimUdqxY4fc3d2tpyKGhIRo165dNtvZsWOHQkJCJF1s9jp06KCdO3fa5LBz507rd8eCgoJUt25dm5gjR44oPT3duh0AAAAAMJNdR7Zmz56t2267Tddff73y8vL0/vvva/fu3UpKStKxY8f03nvvKTo6Wk2aNNHBgweVmJiom2++WQEBAZIuXujC19dXEydO1NNPP62MjAzNnTtXgwcPlpubmyRp0KBBWrlypV5++WXFxMRo165d2rJlixYuXGjN4+GHH9akSZMUFBSkjh07atmyZTp37pz69+8vSWrUqJFiYmI0c+ZMeXh4yN3dXTNmzFBoaCjNFgAAAIBqYVezlZWVpUmTJunkyZNq1KiR/P39lZSUpK5du+rEiRPauXOnkpOTdfbsWV1//fW66667NHLkSOv6rq6uevPNN/X8889r4MCBql+/vvr166cxY8ZYY1q1aqWFCxcqMTFRycnJat68uWbMmKFu3bpZY3r37q1Tp05p3rx5ysjIUGBgoBYvXmxzYY0pU6bIYrFozJgxys/PV1RUlKZNm1aZuQIAAACAcrOr2UpISLjiY9dff71WrFhR5jZuuOEGLVq06Kox4eHh2rhx41VjYmNjFRsbe8XHr7nmGk2bNo0GCwAAAIBDVPo7WwAAAACA0mi2AAAAAMAENFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATECzBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYII6jk4AAIDaatWqVVq9erV+/vlnSVK7du00cuRIRUdHXzZ+/fr1euaZZ2yWubm56ZtvvjE9VwBA9aPZAgCggpo3b64JEyaodevWMgxDGzdu1KhRo7Rhwwa1a9fusuu4u7tr69at1vsuLi7VlS4AoJrRbAEAUEHdu3e3uf/kk09q9erVSk1NvWKz5eLiIm9v7+pIDwDgYDRbAABUgaKiIm3dulVnz55VaGjoFePOnj2r22+/XcXFxWrfvr2eeuqpKzZmV+MMB8QcWUPJ2M4wj5Jz1eNMtUjOVY8z1SLZX09F6qbZAgCgEg4ePKhBgwbpwoULatCggRYsWCBfX9/LxrZt21YJCQny9/dXTk6OlixZokGDBmnTpk1q3ry5XeN6ejaqivQdpmnTho5OQVLtn8dLOVM9zlSL5Fz1OFMtkrn10GwBAFAJbdu21caNG5WTk6MPPvhAkyZN0ooVKy7bcIWGhtoc9QoNDVXv3r2VkpKicePG2TVuVlaODMP+fF1dLTWi0Tl9Ok9FRcUOG9/F5eIHrIrOY03jTPU4Uy2Sc9XjTLVI9tdTEm8Pmi0AACrBzc1NrVu3liQFBQXpm2++UXJysqZPn17munXr1lVgYKCOHTtm97iGoVr/Yacm5O8M8/h7zlSPM9UiOVc9zlSLZG49/M4WAABVqLi4WPn5+eWKLSoq0qFDh7hgBgA4KY5sAQBQQbNnz9Ztt92m66+/Xnl5eXr//fe1e/duJSUlSZImTpyo6667TuPHj5ckzZ8/XyEhIWrdurWys7OVlJSk9PR0DRgwwJFlAABMQrMFAEAFZWVladKkSTp58qQaNWokf39/JSUlqWvXrpKkEydOyGL530kk2dnZevbZZ5WRkSEPDw916NBBKSkpV7ygBgCgdqPZAgCgghISEq76+PLly23uT5kyRVOmTDEzJQBADcJ3tgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAnsarZWrVqlvn37KiwsTGFhYRo4cKA+/fRT6+MXLlxQfHy8wsPDFRoaqtGjRyszM9NmG+np6Xr00UfVqVMnRURE6KWXXlJhYaFNzOeff65+/fopKChIPXr00Pr160vlsnLlSnXv3l3BwcEaMGCA9u3bZ/N4eXIBAAAAALPY1Ww1b95cEyZM0Pr167Vu3TrdeuutGjVqlA4fPixJSkhI0Mcff6y5c+dq+fLlOnnypJ544gnr+kVFRRoxYoQKCgqUkpKimTNnasOGDZo3b5415vjx4xoxYoTCw8P17rvv6qGHHtLUqVO1bds2a8zmzZuVmJioUaNGacOGDQoICFBcXJyysrKsMWXlAgAAAABmsqvZ6t69u6Kjo9WmTRu1bdtWTz75pBo0aKDU1FTl5ORo3bp1mjx5siIiIhQUFKSEhATt3btXqampkqTt27crLS1Nr7zyigIDAxUdHa2xY8dq5cqVys/PlySlpKSoZcuWmjx5snx8fBQbG6uePXvq7bfftuaxdOlS3X///YqJiZGvr6/i4+NVr149rVu3TpLKlQsAAAAAmKnC39kqKirSpk2bdPbsWYWGhmr//v0qKChQZGSkNcbHx0ctWrSwNjipqany8/OTl5eXNSYqKkq5ublKS0uzxkRERNiMFRUVZd1Gfn6+Dhw4YDOOxWJRZGSk9u7dK0nlysUeLi7lv9kbz405NXPeahJHz4eZ8+zoHJzpdul8AgBQm9Wxd4WDBw9q0KBBunDhgho0aKAFCxbI19dX3333nerWravGjRvbxHt6eiojI0OSlJmZadNoSbLeLysmNzdX58+f15kzZ1RUVCRPT89S4xw5csS6jbJysYenZyNT41E25rR2a9q0oaNTMBWvz6rFfAIAnIXdzVbbtm21ceNG5eTk6IMPPtCkSZO0YsUKM3KrMbKycmQYZce5uFz8kFDeeJSNOa04V1dLjWlyTp/OU1FRsaPTqHK8PqvWpfNZch8AgNrK7mbLzc1NrVu3liQFBQXpm2++UXJysnr16qWCggJlZ2fbHFHKysqSt7e3pItHqC69amDJFQJ/H3PpVQMzMzPl7u6uevXqyWKxyNXV1eZiGCXjlBwR8/LyKjMXexiG7PogZW88ysac1n7O/Pzx+qxazCcAwFlU+ne2iouLlZ+fr6CgINWtW1c7d+60PnbkyBGlp6crJCREkhQSEqJDhw7ZNEo7duyQu7u7fH19rTG7du2yGWPHjh3Wbbi5ualDhw424xQXF2vnzp0KDQ2VpHLlAgAAAABmsuvI1uzZs3Xbbbfp+uuvV15ent5//33t3r1bSUlJatSokWJiYjRz5kx5eHjI3d1dM2bMUGhoqLXBiYqKkq+vryZOnKinn35aGRkZmjt3rgYPHiw3NzdJ0qBBg7Ry5Uq9/PLLiomJ0a5du7RlyxYtXLjQmsfDDz+sSZMmKSgoSB07dtSyZct07tw59e/fX5LKlQsAAAAAmMmuZisrK0uTJk3SyZMn1ahRI/n7+yspKUldu3aVJE2ZMkUWi0VjxoxRfn6+oqKiNG3aNOv6rq6uevPNN/X8889r4MCBql+/vvr166cxY8ZYY1q1aqWFCxcqMTFRycnJat68uWbMmKFu3bpZY3r37q1Tp05p3rx5ysjIUGBgoBYvXmxzYY2ycgEAAAAAM7kYBmfGlyUzs/wXyPDyalTueJSNOa24OnUuXiCjz7xtOpCe7ZAcOrRorE1juun06TwVFjrnBTJ4fVadS+ez5D4ur6KvO0e/N9SU9wVn+/t1pnqcqRbJuepxplok++upyH6p0t/ZAgAAAACURrMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwCAClq1apX69u2rsLAwhYWFaeDAgfr000+vus6WLVt09913Kzg4WH379i0zHgBQe9FsAQBQQc2bN9eECRO0fv16rVu3TrfeeqtGjRqlw4cPXzZ+z549Gj9+vO677z5t3LhRd9xxh0aNGqVDhw5Vc+YAgOpAswUAQAV1795d0dHRatOmjdq2basnn3xSDRo0UGpq6mXjk5OT1a1bNz3yyCPy8fHRuHHj1L59e61YsaJ6EwcAVIs6jk4AAABnUFRUpK1bt+rs2bMKDQ29bExqaqqGDRtmsywqKkofffSR3eO5uFQky5rFkTWUjO0M8yg5Vz3OVItU8+qxWFzkUsFkSlarU8ciw6jY+C4uqvC6VcEwDBUXG9Zcfv/fslRk2mi2AACohIMHD2rQoEG6cOGCGjRooAULFsjX1/eysZmZmfLy8rJZ5unpqczMTLvH9fRsVKF8a4qmTRs6OgVJtX8eL+VM9ThTLVLNqaeo2JCrpXKdX5MmFf/7rYrxK+Ny45v53NBsAQBQCW3bttXGjRuVk5OjDz74QJMmTdKKFSuu2HBVlaysnAr967Crq6VGNDqnT+epqKjYYeO7uFz8gFXReaxpnKkeZ6pFqln1lPz9j03Zq7STudU+/p/8vfV0zwCHje97rbteHRRqff+x97kpibcHzRYAAJXg5uam1q1bS5KCgoL0zTffKDk5WdOnTy8V6+XlVeooVlZWVqmjXeVhGI49Facq1IT8nWEef8+Z6nGmWqSaVU/ayVwdSM+u9nF9vBs6dPzf+/1zYeZzwwUyAACoQsXFxcrPz7/sYyEhIdq1a5fNsh07digkJKQaMgMAVDeaLQAAKmj27Nn64osv9NNPP+ngwYOaPXu2du/erb59+0qSJk6cqNmzZ1vjhw4dqm3btmnJkiX6/vvv9dprr2n//v2KjY11VAkAABNxGiEAABWUlZWlSZMm6eTJk2rUqJH8/f2VlJSkrl27SpJOnDghi+V//64ZFhamWbNmae7cuZozZ47atGmjBQsWyM/Pz1ElAABMRLMFAEAFJSQkXPXx5cuXl1rWq1cv9erVy6yUAAA1CKcRAgAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwAAAABMQLMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwAAAABMQLMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgAruarYULFyomJkahoaGKiIjQyJEjdeTIEZuYIUOGyN/f3+b23HPP2cSkp6fr0UcfVadOnRQREaGXXnpJhYWFNjGff/65+vXrp6CgIPXo0UPr168vlc/KlSvVvXt3BQcHa8CAAdq3b5/N4xcuXFB8fLzCw8MVGhqq0aNHKzMz056SAQAAAKBC7Gq2du/ercGDB2vt2rVaunSpCgsLFRcXp7Nnz9rE3X///dq+fbv1NnHiROtjRUVFGjFihAoKCpSSkqKZM2dqw4YNmjdvnjXm+PHjGjFihMLDw/Xuu+/qoYce0tSpU7Vt2zZrzObNm5WYmKhRo0Zpw4YNCggIUFxcnLKysqwxCQkJ+vjjjzV37lwtX75cJ0+e1BNPPGH3JAEAAACAvexqtpKSktS/f3+1a9dOAQEBmjlzptLT03XgwAGbuHr16snb29t6c3d3tz62fft2paWl6ZVXXlFgYKCio6M1duxYrVy5Uvn5+ZKklJQUtWzZUpMnT5aPj49iY2PVs2dPvf3229btLF26VPfff79iYmLk6+ur+Ph41atXT+vWrZMk5eTkaN26dZo8ebIiIiIUFBSkhIQE7d27V6mpqRWcLgAAAAAon0p9ZysnJ0eS5OHhYbP8vffeU3h4uO655x7Nnj1b586dsz6WmpoqPz8/eXl5WZdFRUUpNzdXaWlp1piIiAibbUZFRVmbpPz8fB04cECRkZH/K8RiUWRkpPbu3StJ2r9/vwoKCmxifHx81KJFC7ubLReX8t/sjefGnJo5bzWJo+fDzHl2dA7OdLt0PgEAqM3qVHTF4uJiJSQkKCwsTH5+ftbl99xzj1q0aKFrr71WBw8e1KxZs3T06FHNnz9fkpSZmWnTaEmy3s/IyLhqTG5urs6fP68zZ86oqKhInp6eNjGenp7W75BlZmaqbt26aty4camYknHKy9OzkanxKBtzWrs1bdrQ0SmYitdn1WI+AQDOosLNVnx8vA4fPqxVq1bZLB84cKD1//39/eXt7a1hw4bp2LFjuvHGGyueqQNlZeXIMMqOc3G5+CGhvPEoG3Naca6ulhrT5Jw+naeiomJHp1HleH1WrUvns+Q+AAC1VYWarenTp+uTTz7RihUr1Lx586vGdurUSZL0448/6sYbb5SXl1epqwaWXCHQ29tb0sWjWJdeNTAzM1Pu7u6qV6+eLBaLXF1dbS6GIUlZWVnWI2JeXl4qKChQdna2zdGtrKws6zjlZRiy64OUvfEoG3Na+znz88frs2oxnwAAZ2HXd7YMw9D06dP14YcfatmyZWrVqlWZ63z33XeS/tdIhYSE6NChQzaN0o4dO+Tu7i5fX19rzK5du2y2s2PHDoWEhEiS3Nzc1KFDB+3cudP6eHFxsXbu3KnQ0FBJUlBQkOrWrWsTc+TIEaWnp1u3AwAAAABmsevIVnx8vN5//329/vrratiwofW7T40aNVK9evV07Ngxvffee4qOjlaTJk108OBBJSYm6uabb1ZAQICkixe68PX11cSJE/X0008rIyNDc+fO1eDBg+Xm5iZJGjRokFauXKmXX35ZMTEx2rVrl7Zs2aKFCxdac3n44Yc1adIkBQUFqWPHjlq2bJnOnTun/v37W3OKiYnRzJkz5eHhIXd3d82YMUOhoaE0WwAAAABMZ1eztXr1akkXf7j49xITE9W/f3/rkaTk5GSdPXtW119/ve666y6NHDnSGuvq6qo333xTzz//vAYOHKj69eurX79+GjNmjDWmVatWWrhwoRITE5WcnKzmzZtrxowZ6tatmzWmd+/eOnXqlObNm6eMjAwFBgZq8eLFNhfWmDJliiwWi8aMGaP8/HxFRUVp2rRp9s0QAAAAAFSAXc3WwYMHr/r49ddfrxUrVpS5nRtuuEGLFi26akx4eLg2btx41ZjY2FjFxsZe8fFrrrlG06ZNo8ECAAAAUO0q9TtbAAAAAIDLo9kCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAK7rkYIAAAuWrhwof75z3/qyJEjqlevnkJDQzVhwgTddNNNV1xn/fr1euaZZ2yWubm56ZtvvjE7XQCAA9BsAQBQAbt379bgwYMVHBysoqIizZkzR3Fxcdq0aZMaNGhwxfXc3d21detW630XF5fqSBcA4AA0WwAAVEBSUpLN/ZkzZyoiIkIHDhzQzTfffMX1XFxc5O3tbXZ6AIAagGYLAIAqkJOTI0ny8PC4atzZs2d1++23q7i4WO3bt9dTTz2ldu3a2T2eMxwQc2QNJWM7wzxKzlWPM9UiOV89zsLFxf7npiLPIc0WAACVVFxcrISEBIWFhcnPz++KcW3btlVCQoL8/f2Vk5OjJUuWaNCgQdq0aZOaN29u15ieno0qm7ZDNW3a0NEpSKr983gpZ6rHmWqRnK+e2uzS9x8znxuaLQAAKik+Pl6HDx/WqlWrrhoXGhqq0NBQm/u9e/dWSkqKxo0bZ9eYWVk5Mgz7c3V1tdSIRuf06TwVFRU7bHwXl4sfsCo6jzWNM9XjTLVINauemvL372gl7z/2Pjcl8fag2QIAoBKmT5+uTz75RCtWrLD76FTdunUVGBioY8eO2T2uYcjhH9wqqybk7wzz+HvOVI8z1SI5Xz213e+fCzOfG35nCwCACjAMQ9OnT9eHH36oZcuWqVWrVnZvo6ioSIcOHeKCGQDgpDiyBQBABcTHx+v999/X66+/roYNGyojI0OS1KhRI9WrV0+SNHHiRF133XUaP368JGn+/PkKCQlR69atlZ2draSkJKWnp2vAgAEOqwMAYB6aLQAAKmD16tWSpCFDhtgsT0xMVP/+/SVJJ06ckMXyv5NIsrOz9eyzzyojI0MeHh7q0KGDUlJS5OvrW32JAwCqDc0WAAAVcPDgwTJjli9fbnN/ypQpmjJlilkpAQBqGL6zBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATECzBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATECzBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAKaLQAAAAAwgV3N1sKFCxUTE6PQ0FBFRERo5MiROnLkiE3MhQsXFB8fr/DwcIWGhmr06NHKzMy0iUlPT9ejjz6qTp06KSIiQi+99JIKCwttYj7//HP169dPQUFB6tGjh9avX18qn5UrV6p79+4KDg7WgAEDtG/fPrtzAQAAAAAz2NVs7d69W4MHD9batWu1dOlSFRYWKi4uTmfPnrXGJCQk6OOPP9bcuXO1fPlynTx5Uk888YT18aKiIo0YMUIFBQVKSUnRzJkztWHDBs2bN88ac/z4cY0YMULh4eF699139dBDD2nq1Knatm2bNWbz5s1KTEzUqFGjtGHDBgUEBCguLk5ZWVnlzgUAAAAAzGJXs5WUlKT+/furXbt2CggI0MyZM5Wenq4DBw5IknJycrRu3TpNnjxZERERCgoKUkJCgvbu3avU1FRJ0vbt25WWlqZXXnlFgYGBio6O1tixY7Vy5Url5+dLklJSUtSyZUtNnjxZPj4+io2NVc+ePfX2229bc1m6dKnuv/9+xcTEyNfXV/Hx8apXr57WrVtX7lwAAAAAwCyV+s5WTk6OJMnDw0OStH//fhUUFCgyMtIa4+PjoxYtWlgbnNTUVPn5+cnLy8saExUVpdzcXKWlpVljIiIibMaKioqybiM/P18HDhywGcdisSgyMlJ79+4tdy7l5eJS/pu98dyYUzPnrSZx9HyYOc+OzsGZbpfOJwAAtVmdiq5YXFyshIQEhYWFyc/PT5KUmZmpunXrqnHjxjaxnp6eysjIsMb8vtGSZL1fVkxubq7Onz+vM2fOqKioSJ6enqXGKfkOWXlyKS9Pz0amxqNszGnt1rRpQ0enYCpen1WL+QQAOIsKN1vx8fE6fPiwVq1aVZX51EhZWTkyjLLjXFwufkgobzzKxpxWnKurpcY0OadP56moqNjRaVQ5Xp9V69L5LLkPAEBtVaFma/r06frkk0+0YsUKNW/e3Lrcy8tLBQUFys7OtjmilJWVJW9vb2vMpVcNLLlC4O9jLr1qYGZmptzd3VWvXj1ZLBa5urraXAyjZJySI2LlyaW8DEN2fZCyNx5lY05rP2d+/nh9Vi3mEwDgLOz6zpZhGJo+fbo+/PBDLVu2TK1atbJ5PCgoSHXr1tXOnTuty44cOaL09HSFhIRIkkJCQnTo0CGbRmnHjh1yd3eXr6+vNWbXrl02296xY4d1G25uburQoYPNOMXFxdq5c6dCQ0PLnQsAAAAAmMWuI1vx8fF6//339frrr6thw4bW7z41atRI9erVU6NGjRQTE6OZM2fKw8ND7u7umjFjhkJDQ60NTlRUlHx9fTVx4kQ9/fTTysjI0Ny5czV48GC5ublJkgYNGqSVK1fq5ZdfVkxMjHbt2qUtW7Zo4cKF1lwefvhhTZo0SUFBQerYsaOWLVumc+fOqX///tacysoFAAAAAMxiV7O1evVqSdKQIUNslicmJlqbnClTpshisWjMmDHKz89XVFSUpk2bZo11dXXVm2++qeeff14DBw5U/fr11a9fP40ZM8Ya06pVKy1cuFCJiYlKTk5W8+bNNWPGDHXr1s0a07t3b506dUrz5s1TRkaGAgMDtXjxYpsLa5SVCwAAAACYxa5m6+DBg2XGXHPNNZo2bdpVm5obbrhBixYtuup2wsPDtXHjxqvGxMbGKjY2tlK5AAAAAIAZKvU7WwAAAACAy6PZAgAAAAAT0GwBAFABCxcuVExMjEJDQxUREaGRI0fqyJEjZa63ZcsW3X333QoODlbfvn316aefVkO2AABHoNkCAKACdu/ercGDB2vt2rVaunSpCgsLFRcXp7Nnz15xnT179mj8+PG67777tHHjRt1xxx0aNWqUDh06VI2ZAwCqC80WAAAVkJSUpP79+6tdu3YKCAjQzJkzlZ6ergMHDlxxneTkZHXr1k2PPPKIfHx8NG7cOLVv314rVqyoxswBANXFrqsRAgCAy8vJyZEkeXh4XDEmNTVVw4YNs1kWFRWljz76yO7xXFzsXqVGcXV13L/3GoYhwzAk1f55LFFShzPU40y1SM5Xj7NwcbH/uanIc0izBQBAJRUXFyshIUFhYWHy8/O7YlxmZqbN70FKkqenpzIzM+0e09Ozkd3r1ATe7teoqNhQ48b1HZZDUbEhV8vFT021dR6vxJnqcaZaJOerpzZr2rShzX0znxuaLQAAKik+Pl6HDx/WqlWrqm3MrKwc/d/BGbu4ulpKfdCoTo3r15GrxUVjU/Yq7WRutY/ve627Xh0Uqt9+y1OTJg0rPI81jYvLxQ+MzlCPM9Ui1ax6HP33X1OcPp2noqJiu5+bknh70GwBAFAJ06dP1yeffKIVK1aoefPmV4318vIqdRQrKyur1NGu8jAMOfyDW2WknczVgfRsh41fMne1fR4v5Uz1OFMtkvPVU9v9/rkw87nhAhkAAFSAYRiaPn26PvzwQy1btkytWrUqc52QkBDt2rXLZtmOHTsUEhJiUpYAAEei2QIAoALi4+P1j3/8Q7Nnz1bDhg2VkZGhjIwMnT9/3hozceJEzZ4923p/6NCh2rZtm5YsWaLvv/9er732mvbv36/Y2FhHlAAAMBmnEQIAUAGrV6+WJA0ZMsRmeWJiovr37y9JOnHihCyW//27ZlhYmGbNmqW5c+dqzpw5atOmjRYsWHDVi2oAAGovmi0AACrg4MGDZcYsX7681LJevXqpV69eZqQEAKhhOI0QAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExgd7P1xRdf6LHHHlNUVJT8/f310Ucf2Tw+efJk+fv729zi4uJsYn777TeNHz9eYWFh6tKli6ZMmaK8vDybmP/+97968MEHFRwcrOjoaC1atKhULlu2bNHdd9+t4OBg9e3bV59++qnN44Zh6NVXX1VUVJQ6duyoYcOG6YcffrC3ZAAAAACwm93N1tmzZ+Xv769p06ZdMaZbt27avn279TZnzhybxydMmKC0tDQtXbpUb775pr788ks999xz1sdzc3MVFxenFi1aaP369Zo4caLmz5+vNWvWWGP27Nmj8ePH67777tPGjRt1xx13aNSoUTp06JA1ZtGiRVq+fLmef/55rV27VvXr11dcXJwuXLhgb9kAAAAAYBe7m63o6Gg9+eST6tGjxxVj3Nzc5O3tbb15eHhYH/v++++1bds2zZgxQ506dVKXLl00depUbdq0Sb/++qsk6R//+IcKCgqUkJCgdu3aqU+fPhoyZIiWLl1q3U5ycrK6deumRx55RD4+Pho3bpzat2+vFStWSLp4VCs5OVmPP/647rzzTgUEBOjll1/WyZMnSx2NAwAAAICqZsp3tnbv3q2IiAj17NlT06ZN0+nTp62P7d27V40bN1ZwcLB1WWRkpCwWi/bt2ydJSk1NVZcuXeTm5maNiYqK0tGjR3XmzBlrTEREhM24UVFRSk1NlST99NNPysjIUGRkpPXxRo0aqVOnTtq7d69d9bi4lP9mbzw35tTMeatJHD0fZs6zo3Nwptul8wkAQG1Wp6o32K1bN/Xo0UMtW7bU8ePHNWfOHA0fPlxr1qyRq6urMjMz1axZM9sk6tSRh4eHMjIyJEmZmZlq2bKlTYyXl5f1MQ8PD2VmZlqXlfD09FRmZqYkWbfl6el5xZjy8vRsZGo8ysac1m5NmzZ0dAqm4vVZtZhPAICzqPJmq0+fPtb/L7lAxp133mk92lUbZWXlyDDKjnNxufghobzxKBtzWnGurpYa0+ScPp2noqJiR6dR5Xh9Vq1L57PkPgAAtVWVN1uXatWqlZo2baoff/xRERER8vLy0qlTp2xiCgsLdebMGXl7e0u6eBTr0qNPJfdLjmZdLiYrK8v6eMm2srKydO2119rEBAQE2FWDYciuD1L2xqNstXVOLRYXWSyOORfK1bVm/bJDbXz+yqu2vj5rKuYTAOAsTG+2fvnlF/3222/W5ic0NFTZ2dnav3+/goKCJEm7du1ScXGxOnbsKEkKCQnR3LlzVVBQoLp160qSduzYobZt21ovthESEqJdu3Zp2LBh1rF27NihkJAQSVLLli3l7e2tnTt3KjAwUNLFqxx+/fXXeuCBB8wuG5DF4iKPJg1Up4Y1PQAAAKgedjdbeXl5OnbsmPX+Tz/9pO+++04eHh7y8PDQ/Pnz1bNnT3l5een48eN65ZVX1Lp1a3Xr1k2S5OPjo27duunZZ59VfHy8CgoK9MILL6hPnz667rrrJEl9+/bVggUL9Le//U3Dhw/X4cOHlZycrGeeecY67tChQzVkyBAtWbJE0dHR2rx5s/bv36/p06dLklxcXDR06FC98cYbat26tVq2bKlXX31V1157re68885KTRpQHhaLi+q4WjQ2Za/STuZW+/h/8vfW0z3tO4oLAACAqmN3s7V//34NHTrUej8xMVGS1K9fPz3//PM6dOiQNm7cqJycHF177bXq2rWrxo4da3NlwVmzZumFF17QQw89JIvForvuuktTp061Pt6oUSMlJSVp+vTp6t+/v5o2baqRI0dq4MCB1piwsDDNmjVLc+fO1Zw5c9SmTRstWLBAfn5+1pjhw4fr3Llzeu6555Sdna3OnTtr8eLFuuaaa+wtG6iwtJO5OpCeXe3j+njXjO9rAc7siy++UFJSkvbv36+MjAwtWLDgqv+g9/nnn9vsQ0ts377degYIAMB52N1shYeH6+DBg1d8PCkpqcxtNGnSRLNnz75qTEBAgFatWnXVmF69eqlXr15XfNzFxUVjx47V2LFjy8wJAAB7nT17Vv7+/oqJidETTzxR7vW2bt0qd3d36/1Lr5wLAHAOpn9nCwAAZxUdHa3o6Gi71/P09FTjxo1NyAgAUJPQbAEAUM3+8pe/KD8/X+3atdMTTzyhzp07OzolAIAJaLYAAKgm3t7eio+PV1BQkPLz8/XOO+9o6NChWrt2rTp06GDXtlwc86sSTqNk/pxlHp2pHmeqRXK+epyFi4v9z01FnkOaLQAAqslNN92km266yXo/LCxMx48f19tvv61XXnnFrm3xg8+V06TJxYsIOds8OlM9zlSL5Hz11GZNm9peRMzM54ZmCwAABwoODtaePXvsXi8rK6dCP/7s6mop9UHjj+i33/LUpEnDCs9jTePicvEDozPU40y1SDWrHv7+Lzp9Ok9FRcV2Pzcl8fag2QIAwIH++9//Vuiy74Yhh39wq81K5s7Z5tGZ6nGmWiTnq6e2+/1zYeZzQ7MFAEAF5eXl6dixY9b7P/30k7777jt5eHioRYsWmj17tn799Ve9/PLLkqS3335bLVu2VLt27XThwgW988472rVrl5YsWeKoEgAAJqLZAgCggvbv32/zI8WJiYmSpH79+mnmzJnKyMjQiRMnrI8XFBTopZde0q+//qr69evLz89PS5cu1a233lrtuQMAzEezBQBABYWHh+vgwYNXfHzmzJk294cPH67hw4ebnRYAoIawODoBAAAAAHBGNFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATECzBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATECzBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATECzBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATGB3s/XFF1/oscceU1RUlPz9/fXRRx/ZPG4Yhl599VVFRUWpY8eOGjZsmH744QebmN9++03jx49XWFiYunTpoilTpigvL88m5r///a8efPBBBQcHKzo6WosWLSqVy5YtW3T33XcrODhYffv21aeffmp3LgAAAABgBrubrbNnz8rf31/Tpk277OOLFi3S8uXL9fzzz2vt2rWqX7++4uLidOHCBWvMhAkTlJaWpqVLl+rNN9/Ul19+qeeee876eG5uruLi4tSiRQutX79eEydO1Pz587VmzRprzJ49ezR+/Hjdd9992rhxo+644w6NGjVKhw4dsisXAAAAADCD3c1WdHS0nnzySfXo0aPUY4ZhKDk5WY8//rjuvPNOBQQE6OWXX9bJkyetR8C+//57bdu2TTNmzFCnTp3UpUsXTZ06VZs2bdKvv/4qSfrHP/6hgoICJSQkqF27durTp4+GDBmipUuXWsdKTk5Wt27d9Mgjj8jHx0fjxo1T+/bttWLFinLnAgAAAABmqdLvbP3000/KyMhQZGSkdVmjRo3UqVMn7d27V5K0d+9eNW7cWMHBwdaYyMhIWSwW7du3T5KUmpqqLl26yM3NzRoTFRWlo0eP6syZM9aYiIgIm/GjoqKUmppa7lzKy8Wl/Dd747k575zClqOfD16fteN26XwCAFCb1anKjWVkZEiSPD09bZZ7enoqMzNTkpSZmalmzZrZJlGnjjw8PKzrZ2ZmqmXLljYxXl5e1sc8PDyUmZlpXXa5ccqTS3l5ejYyNR5lY05rt6ZNGzo6BVPx+qxazCcAwFlUabPlrLKycmQYZce5uFz8kFDeeJStNs+pq6vF6ZuM8jp9Ok9FRcWOTqPK1ebXZ0106XyW3AcAoLaq0tMIvb29JUlZWVk2y7OysqxHoby8vHTq1CmbxwsLC3XmzBnr+l5eXqWOPpXc//12Lo35/TjlyaW8DKP8N3vjuTnvnMKWo58PXp+143bpfNZ0ZV2h93I+//xz9evXT0FBQerRo4fWr19fDZkCAByhSputli1bytvbWzt37rQuy83N1ddff63Q0FBJUmhoqLKzs7V//35rzK5du1RcXKyOHTtKkkJCQvTll1+qoKDAGrNjxw61bdtWHh4e1phdu3bZjL9jxw6FhISUOxcAACqjrCv0Xur48eMaMWKEwsPD9e677+qhhx7S1KlTtW3bNpMzBQA4gt2nEebl5enYsWPW+z/99JO+++47eXh4qEWLFho6dKjeeOMNtW7dWi1bttSrr76qa6+9VnfeeackycfHR926ddOzzz6r+Ph4FRQU6IUXXlCfPn103XXXSZL69u2rBQsW6G9/+5uGDx+uw4cPKzk5Wc8884x13KFDh2rIkCFasmSJoqOjtXnzZu3fv1/Tp0+XJLm4uJSZCwAAlREdHa3o6Ohyx6ekpKhly5aaPHmypIv7xK+++kpvv/22unXrZlaaAAAHsbvZ2r9/v4YOHWq9n5iYKEnq16+fZs6cqeHDh+vcuXN67rnnlJ2drc6dO2vx4sW65pprrOvMmjVLL7zwgh566CFZLBbdddddmjp1qvXxRo0aKSkpSdOnT1f//v3VtGlTjRw5UgMHDrTGhIWFadasWZo7d67mzJmjNm3aaMGCBfLz87PGlCcXAACqy5WupJuQkOCgjAAAZrK72QoPD9fBgwev+LiLi4vGjh2rsWPHXjGmSZMmmj179lXHCQgI0KpVq64a06tXL/Xq1atSuQAAUF0udyVdLy8v5ebm6vz586pXr165t8Wl8Svn9z814AzsqcdicZGLAwt3cbn6dzJLUqtTx2LKdzfLGt+M8aT/1VPd4/+eq2uVfoOoVrv0J0fKu469uBohAAC1EFdqrJwmTS5eLdbZ5rE89RQVG3K1OK7ZKu/4Jc+Ro8avaiX1OHr+Ufonacx8H6DZAgCgmlzparvu7u52HdWSyv+zJJfiZyku+u23PDVp0tBpfrqhvD9FUfL8j03Zq7STudWX4P/5k7+3nu4ZwPgOHv+PruQnaez9CZeK/CQJzRYAANUkJCREn332mc2y319J1x615fL4NdWlPzXgLMpbT9rJXB1IzzY/oUv4eDdk/BowPmz/Tsx8H+DETQAAKigvL0/fffedvvvuO0n/u0Jvenq6JGn27NmaOHGiNX7QoEE6fvy4Xn75ZX3//fdauXKltmzZomHDhjkifQCAyTiyBQBABZV1hd6MjAydOHHC+nirVq20cOFCJSYmKjk5Wc2bN9eMGTO47DsAOCmaLQAAKqisK/TOnDnzsuts3LjRxKwAADUFpxECAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAAT0GwBAAAAgAlotgAAAADABDRbAAAAAGACmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAswUAAAAAJqDZAgAAAAATVHmz9dprr8nf39/mdvfdd1sfv3DhguLj4xUeHq7Q0FCNHj1amZmZNttIT0/Xo48+qk6dOikiIkIvvfSSCgsLbWI+//xz9evXT0FBQerRo4fWr19fKpeVK1eqe/fuCg4O1oABA7Rv376qLhcAAAAALsuUI1vt2rXT9u3brbdVq1ZZH0tISNDHH3+suXPnavny5Tp58qSeeOIJ6+NFRUUaMWKECgoKlJKSopkzZ2rDhg2aN2+eNeb48eMaMWKEwsPD9e677+qhhx7S1KlTtW3bNmvM5s2blZiYqFGjRmnDhg0KCAhQXFycsrKyzCgZAAAAAGyY0my5urrK29vbemvWrJkkKScnR+vWrdPkyZMVERGhoKAgJSQkaO/evUpNTZUkbd++XWlpaXrllVcUGBio6OhojR07VitXrlR+fr4kKSUlRS1bttTkyZPl4+Oj2NhY9ezZU2+//bY1h6VLl+r+++9XTEyMfH19FR8fr3r16mndunVmlAwAAAAANkxptn788UdFRUXpjjvu0Pjx45Weni5J2r9/vwoKChQZGWmN9fHxUYsWLazNVmpqqvz8/OTl5WWNiYqKUm5urtLS0qwxERERNmNGRUVZt5Gfn68DBw7YjGOxWBQZGam9e/faXY+LS/lv9sZzc945hS1HPx+8PmvH7dL5rA3sOWV9/fr1pU61Dw4OrsZsAQDVqU5Vb7Bjx45KTExU27ZtlZGRoQULFmjw4MF67733lJmZqbp166px48Y263h6eiojI0OSlJmZadNoSbLeLysmNzdX58+f15kzZ1RUVCRPT89S4xw5csTumjw9G5kaj7Ixp7Vb06YNHZ2CqXh9Vq3aNJ8lp6zHx8erU6dOWrZsmeLi4rR169ZS+6AS7u7u2rp1q/W+S23pKgEAdqvyZis6Otr6/wEBAerUqZNuv/12bdmyRfXq1avq4apFVlaODKPsOBeXix8SyhuPstXmOXV1tTh9k1Fep0/nqaio2NFpVLna/PqsiS6dz5L7NdnvT1mXpPj4eH3yySdat26dHn300cuu4+LiIm9v7+pMEwDgIFXebF2qcePGatOmjY4dO6bIyEgVFBQoOzvb5uhWVlaWdcfj5eVV6hSMkqsV/j7m0isYZmZmyt3dXfXq1ZPFYpGrq2upi2FkZWWVOiJWHoYhuz5I2RuPsjGntZ8zP3+8PqtWbZnPklPWR4wYYV1WnlPWz549q9tvv13FxcVq3769nnrqKbVr187u8TkgVjm/P23VGThbPYDZLj19vbzr2Mv0ZisvL0/Hjx+Xt7e3goKCVLduXe3cuVM9e/aUJB05ckTp6ekKCQmRJIWEhOjNN99UVlaW9RSMHTt2yN3dXb6+vtaYzz77zGacHTt2WLfh5uamDh06aOfOnbrzzjslScXFxdq5c6diY2PNLhkA8Adw+vRpu09Zb9u2rRISEuTv76+cnBwtWbJEgwYN0qZNm9S8eXO7xq/pR/1quiZNLp554Gzz6Gz1AGa49MwjM/9uqrzZeumll3T77berRYsWOnnypF577TVZLBbdc889atSokWJiYjRz5kx5eHjI3d1dM2bMUGhoqLVRioqKkq+vryZOnKinn35aGRkZmjt3rgYPHiw3NzdJ0qBBg7Ry5Uq9/PLLiomJ0a5du7RlyxYtXLjQmsfDDz+sSZMmKSgoSB07dtSyZct07tw59e/fv6pLBgCgXEJDQxUaGmpzv3fv3kpJSdG4cePs2lZFT1/lFOeLfvstT02aNHSa04DLe1ozzz/wv6832Pt1gIqc3l7lzdYvv/yip556Sr/99puaNWumzp07a+3atdbLv0+ZMkUWi0VjxoxRfn6+oqKiNG3aNOv6rq6uevPNN/X8889r4MCBql+/vvr166cxY8ZYY1q1aqWFCxcqMTFRycnJat68uWbMmKFu3bpZY3r37q1Tp05p3rx5ysjIUGBgoBYvXlyh0wgBALhU06ZNK33Ket26dRUYGKhjx47ZPX5tOd2ypiqZO2ebR2erBzDL7/9OzPy7qfJm6//9v/931cevueYaTZs2zabButQNN9ygRYsWXXU74eHh2rhx41VjYmNjOW0QAGCKqjhlvaioSIcOHbK5uBQAwHmY/p0tAACcVVmnrE+cOFHXXXedxo8fL0maP3++QkJC1Lp1a2VnZyspKUnp6ekaMGCAI8sAAJiEZgsAgAoq65T1EydOyGKxWOOzs7P17LPPKiMjQx4eHurQoYNSUlKsF4ACADgXmi0AACrhaqesL1++3Ob+lClTNGXKlOpICwBQA1jKDgEAAAAA2ItmCwAAAABMQLMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwAAAABMQLMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwAAAABMQLMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwAAAABMQLMFAAAAACag2QIAAAAAE9BsAQAAAIAJaLYAAAAAwAQ0WwAAAABgApotAAAAADABzRYAAAAAmIBmCwAAAABMQLMFAAAAACb4QzRbK1euVPfu3RUcHKwBAwZo3759jk4JAOAk7N3HbNmyRXfffbeCg4PVt29fffrpp9WUKQCgujl9s7V582YlJiZq1KhR2rBhgwICAhQXF6esrCxHpwYAqOXs3cfs2bNH48eP13333aeNGzfqjjvu0KhRo3To0KFqzhwAUB2cvtlaunSp7r//fsXExMjX11fx8fGqV6+e1q1b5+jUAAC1nL37mOTkZHXr1k2PPPKIfHx8NG7cOLVv314rVqyo5swBANWhjqMTMFN+fr4OHDigESNGWJdZLBZFRkZq79695d6OxSIZRtlxLi6l411cXORS8oADGMb/8qqN45esW6eOpVzPQVWPXxmurhf/LaNDi8aq7+Za7eP7eLs7dHxJusmroaT/zYUjmPkaKM/rs7b/DVZ+fENGOf94L30PdWTe5VGRfUxqaqqGDRtmsywqKkofffSR3eOXd990JX/U96aS96U6dSzW/1ZmHivCjNd3efeXf/R9E+P/sccv+fuXLr6HXu6z+9VU5O/WqZut06dPq6ioSJ6enjbLPT09deTIkXJvp1mzRnaNa288ytakScOyg2qol+/r9IceX5IaN67v6BRMVZtfnzVRbXkPrcg+JjMzU15eXqXiMzMz7R6/svPk6PcGR4/fqNHF9yVn+/stbz2Onn/GZ3xHatrU9u/EzP2O059GCAAAAACO4NTNVtOmTeXq6lrqi8pZWVml/mURAAB7VGQf4+XlVeooFvskAHBeTt1subm5qUOHDtq5c6d1WXFxsXbu3KnQ0FAHZgYAqO0qso8JCQnRrl27bJbt2LFDISEhZqYKAHAQp262JOnhhx/W2rVrtWHDBn3//fd6/vnnde7cOfXv39/RqQEAarmy9jETJ07U7NmzrfFDhw7Vtm3btGTJEn3//fd67bXXtH//fsXGxjqqBACAiZz6AhmS1Lt3b506dUrz5s1TRkaGAgMDtXjxYk7ZAABUWln7mBMnTshi+d+/a4aFhWnWrFmaO3eu5syZozZt2mjBggXy8/NzVAkAABO5GOW9Ji8AAAAAoNyc/jRCAAAAAHAEmi0AAAAAMAHNFgAAAACYgGYLAAAAAExAs1VJv/32m8aPH6+wsDB16dJFU6ZMUV5e3lXjX3jhBfXs2VMdO3bUn/70J82YMUM5OTnVmHXNZe98StKaNWs0ZMgQhYWFyd/fX9nZ2dWUbc20cuVKde/eXcHBwRowYID27dt31fgtW7bo7rvvVnBwsPr27atPP/20mjKtHeyZz8OHD2v06NHq3r27/P399fbbb1dforWEPfO5du1aPfjgg7r55pt18803a9iwYWW+nmGfqny/KCgo0CuvvKK+ffsqJCREUVFRmjhxon799Vezy7Ay8/3vueeeq9a/azNq+f777/XYY4+pc+fOCgkJUUxMjNLT080qwUZV15OXl6fp06frtttuU8eOHdW7d2+tXr3azBKszNgv2Ds/Vamq61m4cKFiYmIUGhqqiIgIjRw5UkeOHDGxgv8xc5/91ltvyd/fXy+++KJdOdFsVdKECROUlpampUuX6s0339SXX36p55577orxJ0+e1MmTJzVp0iS9//77SkxM1LZt2/S3v/2tGrOuueydT0k6d+6cunXrpscee6yasqy5Nm/erMTERI0aNUobNmxQQECA4uLilJWVddn4PXv2aPz48brvvvu0ceNG3XHHHRo1apQOHTpUzZnXTPbO57lz59SyZUuNHz9e3t7e1ZxtzWfvfH7++efq06ePkpOTlZKSouuvv15//etfq/XDuzOr6veL8+fP69tvv9Xjjz+u9evXa/78+Tp69Kgef/zxWlnP73344Yf6+uuvde2115pdhiRzajl27JgefPBB3XTTTVq+fLn+8Y9/aOTIkbrmmmtqZT0zZ87Utm3b9Morr2jz5s166KGH9MILL+hf//pXjaqlPPsFe7dZlcyoZ/fu3Ro8eLDWrl2rpUuXqrCwUHFxcTp79qyZpZi6z963b59SUlLk7+9vf2IGKiwtLc3w8/Mz9u3bZ1326aefGv7+/sYvv/xS7u1s3rzZ6NChg1FQUGBGmrVGZedz165dhp+fn3HmzBkz06zR7rvvPiM+Pt56v6ioyIiKijIWLlx42fixY8cajz76qM2yAQMGGM8++6ypedYW9s7n791+++3G0qVLTcyu9qnMfBqGYRQWFhqhoaHGhg0bTMrwj6U63i++/vprw8/Pz/j555+rJumrMKueX375xejWrZtx6NChavu7NqOWcePGGRMmTDAn4TKYUU+fPn2M+fPn28T069fPmDNnThVmXpoZ+4XKvjdWRnXs57Kysgw/Pz9j9+7dlUm1TGbVkpuba9x1113Gf/7zHyM2NtaYMWOGXXlxZKsS9u7dq8aNGys4ONi6LDIyUhaLxa7Dv7m5uXJ3d1edOk7/G9NXVVXz+UeVn5+vAwcOKDIy0rrMYrEoMjJSe/fuvew6qampioiIsFkWFRWl1NRUM1OtFSoyn7iyqpjPc+fOqbCwUB4eHmal+YdRXe8Xubm5cnFxUePGjask7ysxq57i4mI9/fTTiouLU7t27UzJ/VJm1FJcXKxPPvlEbdq0UVxcnCIiIjRgwAB99NFHptVRwqznJjQ0VP/+97/166+/yjAM7dq1S0ePHlVUVJQpdUjm7Bccua+prrFLvipj5nu3mbVMnz5d0dHRNtu2B81WJWRmZqpZs2Y2y+rUqSMPDw9lZGSUaxunTp3S66+/roEDB5qRYq1SFfP5R3b69GkVFRXJ09PTZrmnp6cyMzMvu05mZqa8vLzKHf9HUpH5xJVVxXzOmjVL1157bYV3ePif6ni/uHDhgmbNmqU+ffrI3d29ahK/ArPqWbRokerUqaOhQ4dWfdJXYEYtWVlZOnv2rBYtWqRu3bppyZIl6tGjh5544gnt3r3bnEL+j1nPzbPPPitfX1/ddtttCgoK0iOPPKJp06bp5ptvrvoi/o8Z+wVH7muqY+zi4mIlJCQoLCxMfn5+VbLNyzGrlk2bNunbb7/V+PHjK7yNP/ahlCuYNWuWFi1adNWYzZs3V3qc3NxcjRgxQj4+PnriiScqvb2aqrrmE4Dzeuutt7R582YlJydXy3dMUDkFBQUaO3asDMNQfHy8o9OpkP379ys5OVnr16+Xi4uLo9OplOLiYknSHXfcoWHDhkmSAgMDtWfPHqWkpOiWW25xYHYVs3z5cqWmpuqNN95QixYt9OWXXyo+Pp5/kKlh4uPjdfjwYa1atcrRqdjtxIkTevHFF7VkyZJK7Xdoti7jr3/9q/r163fVmFatWsnLy0unTp2yWV5YWKgzZ86U+UW73NxcPfLII2rYsKEWLFigunXrVjrvmqo65hNS06ZN5erqWuqLoFlZWaX+hbCEl5dXqX/xuVr8H0lF5hNXVpn5TEpK0ltvvaWlS5cqICDAzDT/MMx8vygoKNC4ceOUnp6uZcuWmX5USzKnni+//FJZWVm6/fbbrY8XFRXppZdeUnJysv79739XcRUXmVFL06ZNVadOHfn4+NjE+Pj46KuvvqrC7Eszo57z58/r//2//6f58+frT3/6kyQpICBA3333nZKSkkxrtszYLzhyX2P22NOnT9cnn3yiFStWqHnz5pXe3tWYUcuBAweUlZWl/v37W5cVFRXpiy++0MqVK/XNN9/I1dW1zO1wGuFlNGvWTD4+Ple9ubm5KTQ0VNnZ2dq/f7913V27dqm4uFgdO3a84vZzc3MVFxenunXr6o033nD6f6U1ez5xkZubmzp06KCdO3dalxUXF2vnzp0KDQ297DohISHatWuXzbIdO3YoJCTEzFRrhYrMJ66sovO5aNEivf7661q8eLHN9zlROWa9X5Q0Wj/++KPefvttNW3a1JT8L2VGPffee6/+8Y9/aOPGjdbbtddeq7i4OC1evLhW1eLm5qbg4GAdPXrUJuaHH37QDTfcULUFXMKMegoLC1VQUFDqiKOrq6sMw6jaAn7HjP2CI/c1Zo1tGIamT5+uDz/8UMuWLVOrVq2qIt2rMqOWW2+9Ve+9957Ne0BQUJD69u2rjRs3lqvRksTVCCsrLi7O+Mtf/mJ8/fXXxpdffmncddddxlNPPWV9/JdffjF69uxpfP3114ZhGEZOTo4xYMAA45577jF+/PFH4+TJk9ZbYWGho8qoMeydT8MwjJMnTxrffvutsXbtWsPPz8/44osvjG+//dY4ffq0AypwrE2bNhlBQUHG+vXrjbS0NOPZZ581unTpYmRkZBiGYRhPP/20MWvWLGv8V199ZbRv395ISkoy0tLSjHnz5hkdOnQwDh486KgSahR75/PChQvGt99+a3z77bdG165djZkzZxrffvut8cMPPziqhBrF3vlcuHCh0aFDB2Pr1q0275W5ubmOKsGpVPX7RX5+vvHYY48Zt912m/Hdd9/ZPGcXLlyodfVcTnVdjdCMWv75z38aHTp0MNasWWP88MMPxvLly43AwEDjiy++qJX1xMbGGn369DF27dplHDt2zFi3bp0RHBxsrFy5skbVUp79QlnbrG31TJs2zejcubPx+eef27wPnDt3rtbVcqmKXI2Q0wgradasWXrhhRf00EMPyWKx6K677tLUqVOtjxcUFOjo0aM6d+6cpIuHJL/++mtJUo8ePWy29a9//UstW7asvuRrIHvnU5JSUlI0f/586/3BgwdLkhITE20O/f4R9O7dW6dOndK8efOUkZGhwMBALV682HoI/cSJE7JY/ndAOywsTLNmzdLcuXM1Z84ctWnTRgsWLDD1S6y1ib3zefLkSf3lL3+x3l+yZImWLFmiW265RcuXL6/u9Gsce+czJSVFBQUFGjNmjM12nnjiCY0ePbpac3dGVf1+8euvv1pPrbv33nttxkpOTlZ4eHitqseRzKilR48eev755/XWW29pxowZatu2rebNm6cuXbrUynrmzJmjOXPmaMKECTpz5oxatGihJ598Ug888ECNqqU8+4Wytlnb6in5cekhQ4bYjGX257Kaus92MQwTj7cCAAAAwB8U39kCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYAKaLQAAAAAwAc0WAAAAAJiAZgsAAAAATECzBQAAAAAmoNkCAAAAABPQbAEAAACACWi2AAAAAMAENFsAAAAAYIL/D3cj4SS0ybmkAAAAAElFTkSuQmCC" 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" 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" 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "from tensorflow.keras.models import Sequential\n", "from tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Dropout, BatchNormalization\n", @@ -2019,14 +1125,27 @@ ], "metadata": { "collapsed": false, - "is_executing": true + "ExecuteTime": { + "end_time": "2024-03-20T11:48:41.104783Z", + "start_time": "2024-03-20T11:48:40.121419Z" + } }, "id": "dd49203934ca9cf6", - "execution_count": null + "execution_count": 107 }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": "" + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Plot the model\n", "from tensorflow.keras.utils import plot_model\n", @@ -2036,10 +1155,13 @@ ], "metadata": { "collapsed": false, - "is_executing": true + "ExecuteTime": { + "end_time": "2024-03-20T11:48:41.231645Z", + "start_time": "2024-03-20T11:48:41.109033Z" + } }, "id": "81f2d793ada5c410", - "execution_count": null + "execution_count": 108 }, { "cell_type": "code", @@ -2050,10 +1172,13 @@ ], "metadata": { "collapsed": false, - "is_executing": true + "ExecuteTime": { + "end_time": "2024-03-20T11:48:41.298377Z", + "start_time": "2024-03-20T11:48:41.233101Z" + } }, "id": "6b7329b28452b82a", - "execution_count": null + "execution_count": 109 }, { "cell_type": "markdown", @@ -2102,93 +1227,52 @@ "name": "stdout", "output_type": "stream", "text": [ - "Epoch 1/40\n", - "1050/1050 [==============================] - 6s 4ms/step - loss: 1.1248 - accuracy: 0.5219 - val_loss: 0.8407 - val_accuracy: 0.6114\n", - "Epoch 2/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.9929 - accuracy: 0.5490 - val_loss: 0.7929 - val_accuracy: 0.6896\n", - "Epoch 3/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.9030 - accuracy: 0.5894 - val_loss: 0.7408 - val_accuracy: 0.7452\n", - "Epoch 4/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.8242 - accuracy: 0.6418 - val_loss: 0.6877 - val_accuracy: 0.7770\n", - "Epoch 5/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.7582 - accuracy: 0.6933 - val_loss: 0.6468 - val_accuracy: 0.7981\n", - "Epoch 6/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.7035 - accuracy: 0.7320 - val_loss: 0.6120 - val_accuracy: 0.8099\n", - "Epoch 7/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.6612 - accuracy: 0.7629 - val_loss: 0.5832 - val_accuracy: 0.8183\n", - "Epoch 8/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.6318 - accuracy: 0.7824 - val_loss: 0.5609 - val_accuracy: 0.8215\n", - "Epoch 9/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.6083 - accuracy: 0.7946 - val_loss: 0.5442 - val_accuracy: 0.8268\n", - "Epoch 10/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.5877 - accuracy: 0.8022 - val_loss: 0.5297 - val_accuracy: 0.8308\n", - "Epoch 11/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.5729 - accuracy: 0.8093 - val_loss: 0.5164 - val_accuracy: 0.8344\n", - "Epoch 12/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.5526 - accuracy: 0.8206 - val_loss: 0.5062 - val_accuracy: 0.8352\n", - "Epoch 13/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.5422 - accuracy: 0.8222 - val_loss: 0.4985 - val_accuracy: 0.8380\n", - "Epoch 14/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.5254 - accuracy: 0.8285 - val_loss: 0.4871 - val_accuracy: 0.8410\n", - "Epoch 15/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.5127 - accuracy: 0.8314 - val_loss: 0.4795 - val_accuracy: 0.8427\n", - "Epoch 16/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.5025 - accuracy: 0.8361 - val_loss: 0.4744 - val_accuracy: 0.8423\n", - "Epoch 17/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4925 - accuracy: 0.8385 - val_loss: 0.4685 - val_accuracy: 0.8433\n", - "Epoch 18/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4860 - accuracy: 0.8403 - val_loss: 0.4615 - val_accuracy: 0.8455\n", - "Epoch 19/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4750 - accuracy: 0.8425 - val_loss: 0.4589 - val_accuracy: 0.8411\n", - "Epoch 20/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4700 - accuracy: 0.8436 - val_loss: 0.4528 - val_accuracy: 0.8448\n", - "Epoch 21/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4596 - accuracy: 0.8456 - val_loss: 0.4482 - val_accuracy: 0.8444\n", - "Epoch 22/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4539 - accuracy: 0.8471 - val_loss: 0.4451 - val_accuracy: 0.8454\n", - "Epoch 23/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4461 - accuracy: 0.8509 - val_loss: 0.4432 - val_accuracy: 0.8444\n", - "Epoch 24/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4469 - accuracy: 0.8486 - val_loss: 0.4459 - val_accuracy: 0.8412\n", - "Epoch 25/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4337 - accuracy: 0.8550 - val_loss: 0.4365 - val_accuracy: 0.8463\n", - "Epoch 26/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4315 - accuracy: 0.8530 - val_loss: 0.4346 - val_accuracy: 0.8464\n", - "Epoch 27/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4291 - accuracy: 0.8527 - val_loss: 0.4321 - val_accuracy: 0.8462\n", - "Epoch 28/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4229 - accuracy: 0.8544 - val_loss: 0.4285 - val_accuracy: 0.8460\n", - "Epoch 29/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4189 - accuracy: 0.8575 - val_loss: 0.4280 - val_accuracy: 0.8455\n", - "Epoch 30/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4168 - accuracy: 0.8572 - val_loss: 0.4257 - val_accuracy: 0.8468\n", - "Epoch 31/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4108 - accuracy: 0.8586 - val_loss: 0.4251 - val_accuracy: 0.8457\n", - "Epoch 32/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4064 - accuracy: 0.8599 - val_loss: 0.4226 - val_accuracy: 0.8473\n", - "Epoch 33/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4054 - accuracy: 0.8584 - val_loss: 0.4217 - val_accuracy: 0.8461\n", - "Epoch 34/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.4074 - accuracy: 0.8576 - val_loss: 0.4196 - val_accuracy: 0.8486\n", - "Epoch 35/40\n", - "1050/1050 [==============================] - 4s 4ms/step - loss: 0.3921 - accuracy: 0.8633 - val_loss: 0.4232 - val_accuracy: 0.8456\n", - "Epoch 36/40\n", - "1050/1050 [==============================] - 5s 4ms/step - loss: 0.3896 - accuracy: 0.8644 - val_loss: 0.4233 - val_accuracy: 0.8462\n", - "Epoch 37/40\n", - "1050/1050 [==============================] - 5s 4ms/step - loss: 0.3898 - accuracy: 0.8643 - val_loss: 0.4181 - val_accuracy: 0.8468\n", - "Epoch 38/40\n", - "1050/1050 [==============================] - 5s 4ms/step - loss: 0.3863 - accuracy: 0.8647 - val_loss: 0.4189 - val_accuracy: 0.8471\n", - "Epoch 39/40\n", - "1050/1050 [==============================] - 5s 4ms/step - loss: 0.3854 - accuracy: 0.8666 - val_loss: 0.4176 - val_accuracy: 0.8471\n", - "Epoch 40/40\n", - "1050/1050 [==============================] - 5s 4ms/step - loss: 0.3794 - accuracy: 0.8672 - val_loss: 0.4179 - val_accuracy: 0.8461\n", - "263/263 [==============================] - 1s 2ms/step\n" + "Epoch 1/20\n", + "1050/1050 [==============================] - 4s 3ms/step - loss: 1.0607 - accuracy: 0.5246 - val_loss: 0.8445 - val_accuracy: 0.6040\n", + "Epoch 2/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.9423 - accuracy: 0.5647 - val_loss: 0.7906 - val_accuracy: 0.6873\n", + "Epoch 3/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.8554 - accuracy: 0.6142 - val_loss: 0.7314 - val_accuracy: 0.7438\n", + "Epoch 4/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.7918 - accuracy: 0.6648 - val_loss: 0.6835 - val_accuracy: 0.7739\n", + "Epoch 5/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.7319 - accuracy: 0.7110 - val_loss: 0.6470 - val_accuracy: 0.7875\n", + "Epoch 6/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.6907 - accuracy: 0.7468 - val_loss: 0.6125 - val_accuracy: 0.8017\n", + "Epoch 7/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.6502 - accuracy: 0.7732 - val_loss: 0.5862 - val_accuracy: 0.8086\n", + "Epoch 8/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.6240 - accuracy: 0.7870 - val_loss: 0.5660 - val_accuracy: 0.8151\n", + "Epoch 9/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5995 - accuracy: 0.7994 - val_loss: 0.5473 - val_accuracy: 0.8213\n", + "Epoch 10/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5735 - accuracy: 0.8137 - val_loss: 0.5342 - val_accuracy: 0.8252\n", + "Epoch 11/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5655 - accuracy: 0.8177 - val_loss: 0.5221 - val_accuracy: 0.8264\n", + "Epoch 12/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5485 - accuracy: 0.8227 - val_loss: 0.5098 - val_accuracy: 0.8298\n", + "Epoch 13/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5358 - accuracy: 0.8277 - val_loss: 0.5021 - val_accuracy: 0.8342\n", + "Epoch 14/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5218 - accuracy: 0.8307 - val_loss: 0.4914 - val_accuracy: 0.8355\n", + "Epoch 15/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5076 - accuracy: 0.8371 - val_loss: 0.4864 - val_accuracy: 0.8352\n", + "Epoch 16/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5023 - accuracy: 0.8363 - val_loss: 0.4793 - val_accuracy: 0.8363\n", + "Epoch 17/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4901 - accuracy: 0.8388 - val_loss: 0.4747 - val_accuracy: 0.8361\n", + "Epoch 18/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4824 - accuracy: 0.8429 - val_loss: 0.4691 - val_accuracy: 0.8385\n", + "Epoch 19/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4719 - accuracy: 0.8455 - val_loss: 0.4645 - val_accuracy: 0.8365\n", + "Epoch 20/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4657 - accuracy: 0.8467 - val_loss: 0.4613 - val_accuracy: 0.8371\n", + "263/263 [==============================] - 0s 1ms/step\n" ] }, { "data": { - "text/plain": "
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" 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" 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": "
" }, "metadata": {}, "output_type": "display_data" @@ -2205,17 +1304,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test loss: 0.4178744852542877\n", - "Test accuracy: 0.8460714221000671\n", + "Test loss: 0.4613083004951477\n", + "Test accuracy: 0.8371428847312927\n", "Classification Report: \n", " precision recall f1-score support\n", "\n", - " 0 0.81 0.90 0.85 4192\n", - " 1 0.89 0.79 0.84 4208\n", + " 0 0.80 0.90 0.85 4192\n", + " 1 0.89 0.77 0.83 4208\n", "\n", - " accuracy 0.85 8400\n", - " macro avg 0.85 0.85 0.85 8400\n", - "weighted avg 0.85 0.85 0.85 8400\n" + " accuracy 0.84 8400\n", + " macro avg 0.84 0.84 0.84 8400\n", + "weighted avg 0.84 0.84 0.84 8400\n" ] } ], @@ -2292,22 +1391,57 @@ "# Generate a classification report\n", "report = classification_report(y_test, y_pred_classes)\n", "\n", - "# Plot the training and validation accuracy over epochs\n", - "plt.plot(history.history['accuracy'], 'ro-', history.history['val_accuracy'], 'bv--')\n", - "plt.title('Training and Test Accuracy')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.legend(['Training Accuracy', 'Test Accuracy'])\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot training & validation accuracy values\n", + "ax.plot(history.history['accuracy'], 'ro-', label='Training Accuracy')\n", + "ax.plot(history.history['val_accuracy'], 'bv--', label='Test Accuracy')\n", + "\n", + "# Plot training & validation loss values\n", + "ax.plot(history.history['loss'], 'go-', label='Training Loss')\n", + "ax.plot(history.history['val_loss'], 'yv--', label='Validation Loss')\n", + "\n", + "ax.set_title('Combined Graph')\n", + "ax.set_ylabel('Values')\n", + "ax.set_xlabel('Epoch')\n", + "ax.legend()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", "plt.show()\n", "\n", - "# Plot the training and validation loss over epochs\n", - "plt.figure(figsize=(12, 6))\n", - "plt.plot(history.history['loss'], label='Training Loss')\n", - "plt.plot(history.history['val_loss'], label='Validation Loss')\n", - "plt.title('Training and Validation Loss Over Time')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", + "# Create a figure for the accuracy plot\n", + "fig1, ax1 = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot training & validation accuracy values\n", + "ax1.plot(history.history['accuracy'], 'ro-', label='Training Accuracy')\n", + "ax1.plot(history.history['val_accuracy'], 'bv--', label='Test Accuracy')\n", + "ax1.set_title('Model Accuracy')\n", + "ax1.set_ylabel('Accuracy')\n", + "ax1.set_xlabel('Epoch')\n", + "ax1.legend()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Create a figure for the loss plot\n", + "fig2, ax2 = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot training & validation loss values\n", + "ax2.plot(history.history['loss'], 'ro-', label='Training Loss')\n", + "ax2.plot(history.history['val_loss'], 'bv--', label='Validation Loss')\n", + "ax2.set_title('Model Loss')\n", + "ax2.set_ylabel('Loss')\n", + "ax2.set_xlabel('Epoch')\n", + "ax2.legend()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", "plt.show()\n", "\n", "# Print the testing loss and accuracy\n", @@ -2319,12 +1453,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T11:06:16.563126Z", - "start_time": "2024-03-20T11:03:23.792203Z" + "end_time": "2024-03-20T11:49:34.073929Z", + "start_time": "2024-03-20T11:48:41.299882Z" } }, "id": "c8745832a585d5ec", - "execution_count": 20 + "execution_count": 110 }, { "cell_type": "markdown", @@ -2357,7 +1491,7 @@ { "data": { "text/plain": "
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" 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" 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" 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" 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" 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" }, "metadata": {}, "output_type": "display_data" @@ -2381,7 +1515,7 @@ { "data": { "text/plain": "
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" 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" }, "metadata": {}, "output_type": "display_data" @@ -2404,12 +1538,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T10:38:19.011672Z", - "start_time": "2024-03-20T10:38:17.692289Z" + "end_time": "2024-03-20T11:49:35.361384Z", + "start_time": "2024-03-20T11:49:34.075287Z" } }, "id": "41091791008ff727", - "execution_count": 17 + "execution_count": 111 }, { "cell_type": "markdown", @@ -2427,7 +1561,16 @@ }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# 2. Confusion Matrix\n", "# Convert the predicted probabilities to binary outputs\n", @@ -2444,9 +1587,14 @@ "\n" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:49:35.531355Z", + "start_time": "2024-03-20T11:49:35.362848Z" + } }, - "id": "6b7d586ea49a858a" + "id": "6b7d586ea49a858a", + "execution_count": 112 }, { "cell_type": "markdown", @@ -2472,7 +1620,16 @@ }, { "cell_type": "code", - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# 3. ROC Curve\n", "# Compute ROC curve and ROC area for each class\n", @@ -2492,9 +1649,14 @@ "plt.show()" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:49:35.715900Z", + "start_time": "2024-03-20T11:49:35.532577Z" + } }, - "id": "4d080bef0cf9bec4" + "id": "4d080bef0cf9bec4", + "execution_count": 113 }, { "cell_type": "markdown", @@ -2512,7 +1674,7 @@ { "data": { "text/plain": "
", - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" @@ -2536,12 +1698,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-03-20T11:09:20.185477Z", - "start_time": "2024-03-20T11:09:19.972639Z" + "end_time": "2024-03-20T11:49:35.981276Z", + "start_time": "2024-03-20T11:49:35.717252Z" } }, "id": "c67bb53e5a864293", - "execution_count": 21 + "execution_count": 114 } ], "metadata": { diff --git a/Project_OLD.ipynb b/Project_OLD.ipynb new file mode 100644 index 0000000..b46c454 --- /dev/null +++ b/Project_OLD.ipynb @@ -0,0 +1,2576 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# CSC 3105 Project" + ], + "metadata": { + "collapsed": false + }, + "id": "cda961ffb493d00c" + }, + { + "cell_type": "markdown", + "source": [ + "# Load and Clean the Data\n", + "\n", + "This code block performs the following operations:\n", + "\n", + "1. Imports necessary libraries for data handling and cleaning.\n", + "2. Defines a function `load_data` to load the data from a given directory into a pandas dataframe.\n", + "3. Defines a function `clean_data` to clean the loaded data. The cleaning process includes:\n", + " - Handling missing values by dropping them.\n", + " - Removing duplicate rows.\n", + " - Converting the 'NLOS' column to integer data type.\n", + " - Normalizing the 'Measured range (time of flight)' column.\n", + " - Creating new features 'FP_SUM' and 'SNR'.\n", + " - One-hot encoding categorical features.\n", + " - Performing feature extraction on 'CIR' columns.\n", + " - Dropping the original 'CIR' columns.\n", + " - Checking for columns with only one unique value and dropping them.\n", + "4. Checks if a pickle file with the cleaned data exists. If it does, it loads the data from the file. If it doesn't, it loads and cleans the data using the defined functions.\n", + "5. Prints the first few rows of the cleaned data and its column headers." + ], + "metadata": { + "collapsed": false + }, + "id": "73fe8802e95a784f" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "import os\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "import pickle\n", + "from sklearn.model_selection import cross_val_score\n", + "from sklearn.metrics import roc_curve, auc\n", + "import tensorflow as tf\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.preprocessing import StandardScaler\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pywt\n", + "from skimage import restoration\n", + "from tensorflow.keras.utils import to_categorical\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:21.260710Z", + "start_time": "2024-03-20T11:36:21.256027Z" + } + }, + "id": "2aa3c6c09e8645d1", + "execution_count": 70 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# Define the directory where the dataset is located\n", + "DATASET_DIR = './UWB-LOS-NLOS-Data-Set/dataset'\n", + "\n", + "def load_data(dataset_dir):\n", + " # Load the data\n", + " # file_paths = [os.path.join(dirpath, file) for dirpath, _, filenames in os.walk(dataset_dir) for file in filenames if 'uwb_dataset_part7.csv' not in file]\n", + " file_paths = [os.path.join(dirpath, file) for dirpath, _, filenames in os.walk(dataset_dir) for file in filenames]\n", + " data = pd.concat((pd.read_csv(file_path) for file_path in file_paths))\n", + " print(f\"Original data shape: {data.shape}\")\n", + " return data\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:21.918674Z", + "start_time": "2024-03-20T11:36:21.913408Z" + } + }, + "id": "7bcd7cfc8dd11cbb", + "execution_count": 71 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def stat_analysis_and_plots(data):\n", + " # Statistical Analysis\n", + " print(\"Statistical Analysis:\")\n", + " print(data.describe())\n", + "\n", + " # Plot Boxplot to check for outliers for the first 15 columns\n", + " print(\"Boxplot of the first 15 columns:\")\n", + " fig, axs = plt.subplots(15,1,dpi=95, figsize=(7,17))\n", + " for i, col in enumerate(data.columns[:15]):\n", + " axs[i].boxplot(data[col], vert=False)\n", + " axs[i].set_ylabel(col)\n", + " plt.show()\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:21.998580Z", + "start_time": "2024-03-20T11:36:21.993122Z" + } + }, + "id": "9e0b1ed6f23a17cf", + "execution_count": 72 + }, + { + "cell_type": "markdown", + "source": [ + "# Channel Impulse Response (CIR) Graphs\n", + "\n", + "This code block defines a function `cir_graphs` to plot the Channel Impulse Response (CIR) for Line of Sight (LOS) and Non-Line of Sight (NLOS) data. The CIR is a sequence of values representing the channel response to a single impulse. It is used to characterize the channel in wireless communication systems." + ], + "metadata": { + "collapsed": false + }, + "id": "1dd92fe7b6881ea6" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def cir_graphs(data):\n", + " # Separate the data into LOS and NLOS\n", + " data_los = data[data['NLOS'] == 0]\n", + " data_nlos = data[data['NLOS'] == 1]\n", + "\n", + " # Extract the CIR columns\n", + " cir_columns = [col for col in data.columns if 'CIR' in col]\n", + " data_los_cir = data_los[cir_columns]\n", + " data_nlos_cir = data_nlos[cir_columns]\n", + "\n", + " # Calculate the magnitude and time for each CIR column\n", + " time_los = np.arange(len(data_los_cir.columns))\n", + " magnitude_los = np.linalg.norm(data_los_cir.values, axis=0)\n", + "\n", + " time_nlos = np.arange(len(data_nlos_cir.columns))\n", + " magnitude_nlos = np.linalg.norm(data_nlos_cir.values, axis=0)\n", + "\n", + " # Plot the magnitude vs time for LOS\n", + " plt.figure(figsize=(20, 10), dpi=300) # Increase figure size and DPI\n", + " plt.plot(time_los, magnitude_los, linewidth=2) # Increase line width\n", + " plt.title('Magnitude vs Time for LOS')\n", + " plt.xlabel('Time (ns)')\n", + " plt.ylabel('Magnitude')\n", + " plt.xlim([600, max(time_los)]) # Set x-axis limits\n", + " # plt.ylim([0, 2e6])\n", + " plt.show()\n", + "\n", + " # Plot the magnitude vs time for NLOS\n", + " plt.figure(figsize=(20, 10), dpi=300) # Increase figure size and DPI\n", + " plt.plot(time_nlos, magnitude_nlos, linewidth=2) # Increase line width\n", + " plt.title('Magnitude vs Time for NLOS')\n", + " plt.xlabel('Time (ns)')\n", + " plt.ylabel('Magnitude')\n", + " plt.xlim([600, max(time_los)]) # Set x-axis limits\n", + " # plt.ylim([0, 2e6])\n", + " plt.show()\n", + " " + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.090025Z", + "start_time": "2024-03-20T11:36:22.080262Z" + } + }, + "id": "308d64639b199bc7", + "execution_count": 73 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def calculate_total_distance(data):\n", + " # Speed of light in meters per nanosecond\n", + " speed_of_light_ns = 0.299792458\n", + "\n", + " # Extract the CIR columns\n", + " cir_columns = [col for col in data.columns if 'CIR' in col]\n", + "\n", + " # Calculate the total distance for each row\n", + " data['Total_Distance'] = data[cir_columns].abs().sum(axis=1) * speed_of_light_ns\n", + "\n", + " return data" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.129821Z", + "start_time": "2024-03-20T11:36:22.125340Z" + } + }, + "id": "80cfcfac265d9357", + "execution_count": 74 + }, + { + "cell_type": "markdown", + "source": [ + "# Signal to Noise Ratio (SNR) Graph\n", + "\n", + "This code block defines a function `snr_graph` to plot the Signal to Noise Ratio (SNR) for Line of Sight (LOS) and Non-Line of Sight (NLOS) data. The SNR is calculated as the ratio of the 'CIR_PWR' to the 'STDEV_NOISE' for each data point." + ], + "metadata": { + "collapsed": false + }, + "id": "bfd97fbe797a7067" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "\n", + "def snr_graph(data):\n", + " # Separate the data into LOS and NLOS\n", + " data_los = data[data['NLOS'] == 0]\n", + " data_nlos = data[data['NLOS'] == 1]\n", + "\n", + " # Extract the SNR values\n", + " snr_los = data_los['SNR']\n", + " snr_nlos = data_nlos['SNR']\n", + "\n", + " # Create a new figure\n", + " plt.figure(figsize=(10, 5))\n", + "\n", + " # Plot SNR for LOS\n", + " plt.plot(snr_los, label='LOS')\n", + "\n", + " # Plot SNR for NLOS\n", + " plt.plot(snr_nlos, color='red', label='NLOS')\n", + "\n", + " # Set title and labels\n", + " plt.title('SNR for LOS and NLOS')\n", + " plt.xlabel('Index')\n", + " plt.ylabel('SNR')\n", + "\n", + " # Add a legend\n", + " plt.legend()\n", + "\n", + " # Show the plot\n", + " plt.show()\n", + " " + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.213753Z", + "start_time": "2024-03-20T11:36:22.208758Z" + } + }, + "id": "4afc8d71b3271351", + "execution_count": 75 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from scipy.stats import norm\n", + "\n", + "def plot_histogram(data, feature):\n", + " \"\"\"\n", + " Function to plot a histogram of a given feature in the data for 'NLOS' and 'LOS'.\n", + "\n", + " Parameters:\n", + " data (pd.DataFrame): The data.\n", + " feature (str): The name of the feature to plot.\n", + "\n", + " Returns:\n", + " None\n", + " \"\"\"\n", + " # Check if the feature exists in the data\n", + " if feature not in data.columns:\n", + " print(f\"The feature '{feature}' does not exist in the data.\")\n", + " return\n", + "\n", + " # Separate the data into 'NLOS' and 'LOS'\n", + " data_nlos = data[data['NLOS'] == 1]\n", + " data_los = data[data['NLOS'] == 0]\n", + "\n", + " # Create a figure with two subplots side by side\n", + " fig, axs = plt.subplots(1, 2, figsize=(10, 5))\n", + "\n", + " # Plot the histogram for 'NLOS'\n", + " axs[0].hist(data_nlos[feature], bins=30, edgecolor='black')\n", + " axs[0].set_title(f'Histogram of {feature} for NLOS')\n", + " axs[0].set_xlabel(feature)\n", + " axs[0].set_ylabel('Frequency')\n", + "\n", + " # Plot the histogram for 'LOS'\n", + " axs[1].hist(data_los[feature], bins=30, edgecolor='black')\n", + " axs[1].set_title(f'Histogram of {feature} for LOS')\n", + " axs[1].set_xlabel(feature)\n", + " axs[1].set_ylabel('Frequency')\n", + "\n", + " # Display the plots\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + "# Usage:\n", + "# plot_histogram(data, 'First_Path_Power_Level')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.268611Z", + "start_time": "2024-03-20T11:36:22.260730Z" + } + }, + "id": "22025d6c8281fc09", + "execution_count": 76 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def plot_features(data, labels, feature1, feature2):\n", + " reds = labels == 1\n", + " blacks = labels == 0\n", + " plt.scatter(data[reds][feature1], data[reds][feature2], c=\"red\", s=20, edgecolor='k')\n", + " plt.scatter(data[blacks][feature1], data[blacks][feature2], c=\"yellow\", s=20, edgecolor='k')\n", + " plt.xlabel(feature1)\n", + " plt.ylabel(feature2)\n", + " plt.title(f\"Plot of data: {feature1} versus {feature2}\")\n", + " plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.354769Z", + "start_time": "2024-03-20T11:36:22.349304Z" + } + }, + "id": "ac4db13fed3f9916", + "execution_count": 77 + }, + { + "cell_type": "markdown", + "source": [ + "## denoise_cir Function\n", + "\n", + "The `denoise_cir` function uses the Discrete Wavelet Transform (DWT) to denoise the Channel Impulse Response (CIR) values. The DWT is a linear transformation that operates on a data vector whose length is an integer power of two, transforming it into a numerically different vector of the same length. The DWT of a signal `x` is calculated as follows:\n", + "\n", + "1. **Wavelet Decomposition:**\n", + "\n", + " The input signal `x` is passed through two complementary filters and emerges as two signals. The filter outputs are decimated by 2 (down-sampled) to get the approximation coefficients (cA) and detail coefficients (cD).\n", + "\n", + " The approximation coefficients represent the high-scale, low-frequency component of the signal, while the detail coefficients represent the low-scale, high-frequency component.\n", + "\n", + "2. **Thresholding:**\n", + "\n", + " The detail coefficients are thresholded to remove noise. The thresholding function `T` applied to the detail coefficients `x` is defined as:\n", + "$$\n", + "T(x) = x * I(|x| > \\text{{value}}) \\quad \\text{{for 'hard' thresholding}}\n", + "$$\n", + "\n", + "$$\n", + "T(x) = \\text{{sign}}(x)(|x| - \\text{{value}})_+ \\quad \\text{{for 'soft' thresholding}}\n", + "$$\n", + "\n", + "where $I$ is the indicator function that is one if the argument is true and zero otherwise, $\\text{{value}}$ is the threshold value, and $(x)_+$ equals $x$ if $x > 0$ and zero otherwise.\n", + "\n", + "3. **Wavelet Reconstruction:**\n", + "\n", + " The original signal is reconstructed from the approximation and detail coefficients." + ], + "metadata": { + "collapsed": false + }, + "id": "69413268ac5b549d" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "def denoise_cir(cir_values, wavelet='db1', level=1):\n", + " # Perform wavelet decomposition\n", + " coeffs = pywt.wavedec(cir_values, wavelet, level=level)\n", + "\n", + " # Set the detail coefficients to zero\n", + " for i in range(1, len(coeffs)):\n", + " coeffs[i] = pywt.threshold(coeffs[i], value=0.5, mode='soft')\n", + "\n", + " # Perform wavelet reconstruction\n", + " denoised_cir = pywt.waverec(coeffs, wavelet)\n", + "\n", + " return denoised_cir\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.466282Z", + "start_time": "2024-03-20T11:36:22.462030Z" + } + }, + "id": "fe3089568e99a58d", + "execution_count": 78 + }, + { + "cell_type": "markdown", + "source": [ + "## deconvolve_cir Function\n", + "\n", + "The `deconvolve_cir` function applies the Richardson-Lucy deconvolution algorithm to deconvolve the Channel Impulse Response (CIR) values. \n", + "\n", + "In the context of signal processing, deconvolution is the process of reversing the effects of convolution on a signal. Convolution is a mathematical operation that blends two functions together and is often used to describe the effect of a linear time-invariant system on a signal. Deconvolution, therefore, attempts to recover the original signal that was convolved with the system's impulse response to produce the current signal.\n", + "\n", + "The Richardson-Lucy algorithm is an iterative method for deconvolution. It is particularly suitable for cases where the impulse response of the system (also known as the Point Spread Function, or PSF) is known, and the noise is Poissonian (such as in astronomical images). \n", + "\n", + "The algorithm works by iteratively refining an estimate of the original signal. In each iteration, it performs a prediction step where it convolves the current estimate with the PSF to predict the observed signal, and a correction step where it computes the ratio of the observed signal to the predicted signal, convolves this ratio with the PSF, and multiplies the result with the current estimate to get the next estimate.\n", + "\n", + "This process is repeated for a fixed number of iterations, or until the estimate converges to a stable solution. The result is a denoised estimate of the original signal.\n", + "\n", + "The mathematical formulas involved in the Richardson-Lucy deconvolution algorithm are as follows:\n", + "\n", + "1. **Prediction Step:**\n", + "\n", + " The current estimate of the latent image `x` is convolved with the PSF `h` to predict the observed image `y`. This can be represented as:\n", + "\n", + " $$\n", + " y = h \\ast x\n", + " $$\n", + "\n", + " where $\\ast$ denotes the convolution operation.\n", + "\n", + "2. **Correction Step:**\n", + "\n", + "The ratio of the observed image $y$ to the predicted image $y'$ is computed, then the PSF $h$ is convolved with this ratio and multiplied with the current estimate $x$ to get the next estimate $x'$. This can be represented as:\n", + "\n", + "$$\n", + "x' = x \\cdot (h \\ast \\left(\\frac{y}{y'}\\right))\n", + "$$\n", + "\n", + "where $\\div$ denotes element-wise division and $\\ast$ denotes the convolution operation.\n" + ], + "metadata": { + "collapsed": false + }, + "id": "e1edd5ef4f54e752" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "\n", + "def deconvolve_cir(cir_values, psf=None, iterations=50):\n", + " # If no point spread function is provided, create a simple one\n", + " if psf is None:\n", + " psf = np.ones((5,)) / 5\n", + "\n", + " # Perform Richardson-Lucy deconvolution\n", + " deconvolved_cir = restoration.richardson_lucy(cir_values, psf, num_iter=iterations)\n", + "\n", + " return deconvolved_cir" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.544990Z", + "start_time": "2024-03-20T11:36:22.541525Z" + } + }, + "id": "670e8c2cf19126ea", + "execution_count": 79 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "\n", + "def clean_data(data):\n", + " print(\"Starting data cleaning process...\")\n", + " \n", + " # print(\"Before Cleaning\")\n", + " # stat_analysis_and_plots(data)\n", + "\n", + " # Calculate total number of missing values in the data\n", + " total_missing = data.isnull().sum().sum()\n", + " print(f\"Total number of missing values: {total_missing}\")\n", + "\n", + " # Data has no missing values\n", + " data = data.dropna()\n", + " print(\"Missing values dropped.\")\n", + "\n", + " # Data has no duplicate rows\n", + " data = data.drop_duplicates()\n", + " print(\"Duplicate rows dropped.\")\n", + "\n", + " # Convert 'NLOS' column to integer data type (0 for LOS, 1 for NLOS)\n", + " data['NLOS'] = data['NLOS'].astype(int)\n", + " print(\"'NLOS' column converted to integer data type.\")\n", + " \n", + " # Print line where CIR_PWR is 0\n", + " print(f\"Line where CIR_PWR is 0: {data[data['CIR_PWR'] == 0]}\")\n", + " \n", + " # Calculate the expression inside the log10 function\n", + " expression = (data['CIR_PWR'] * (2**17)) / (data['RXPACC']**2)\n", + "\n", + " # If the expression is 0, set 'RX_Level' to 0\n", + " zero_indices = expression == 0\n", + " data.loc[zero_indices, 'RX_Level'] = 0\n", + "\n", + " # For the rest of the data where the expression is not 0, calculate 'RX_Level'\n", + " # First, update the 'expression' and 'data' to exclude zero_indices\n", + " expression = expression.loc[~zero_indices]\n", + " data = data.loc[~zero_indices]\n", + "\n", + " # Now, calculate 'RX_Level' for the rest of the data\n", + " data['RX_Level'] = 10 * np.log10(expression) - data['PRFR']\n", + "\n", + " # Calculate the median of 'RX_Level'\n", + " median = data['RX_Level'].median()\n", + "\n", + " # Create the boolean mask on the same DataFrame 'data'\n", + " zero_indices = (data['RX_Level'] == 0)\n", + "\n", + " # Replace zero values in 'RX_Level' with the median\n", + " data.loc[zero_indices, 'RX_Level'] = median\n", + "\n", + " print(\"New feature 'RX_Level' created.\")\n", + "\n", + " # Calculate new feature 'First_Path_Power_Level'\n", + " data['First_Path_Power_Level'] = (10 * np.log10(\n", + " (data['FP_AMP1'] ** 2 + data['FP_AMP2'] ** 2 + data['FP_AMP3'] ** 2) / (data['RXPACC'] ** 2))) - 64\n", + " print(\"New feature 'First_Path_Power_Level' calculated.\")\n", + " data.drop(['FP_AMP1', 'FP_AMP2', 'FP_AMP3', 'RXPACC', 'PRFR'], axis=1, inplace=True)\n", + "\n", + " # Calculate SNR as the ratio of 'CIR_PWR' to 'STDEV_NOISE' for each data point\n", + " data['SNR'] = data['CIR_PWR'] / data['STDEV_NOISE']\n", + " print(\"New feature 'SNR' created.\")\n", + " data.drop(['CIR_PWR', 'STDEV_NOISE'], axis=1, inplace=True)\n", + " \n", + " plot_histogram(data, 'First_Path_Power_Level')\n", + " plot_histogram(data, 'RX_Level')\n", + "\n", + " # One-hot encode categorical features\n", + " categorical_features = ['CH', 'FRAME_LEN', 'PREAM_LEN', 'BITRATE']\n", + " encoder = LabelEncoder()\n", + " for feature in categorical_features:\n", + " data[feature] = encoder.fit_transform(data[feature])\n", + " print(\"Categorical features one-hot encoded.\")\n", + "\n", + " # Extract the 'CIR' columns\n", + " cir_columns = [col for col in data.columns if 'CIR' in col]\n", + " cir_data = data[cir_columns] \n", + " print(\"'CIR' columns extracted.\")\n", + " \n", + " # Convert 'CIR' columns to float\n", + " cir_data = cir_data.astype(float)\n", + " print(\"'CIR' columns converted to float.\")\n", + " \n", + " # Denoise 'CIR' columns\n", + " denoised_cir_data = cir_data.apply(denoise_cir)\n", + " # denoised_cir_data = cir_data.apply(deconvolve_cir)\n", + " print(\"'CIR' columns denoised.\")\n", + " \n", + " # Replace original 'CIR' columns with denoised data\n", + " data[cir_columns] = denoised_cir_data\n", + " print(\"Original 'CIR' columns replaced with denoised data.\")\n", + " \n", + " # List of columns to check for unique values\n", + " columns_to_check = ['CH', 'PREAM_LEN', 'BITRATE']\n", + "\n", + " # Iterate over the columns\n", + " for column in columns_to_check:\n", + " # If the column has only one unique value, drop it\n", + " if data[column].nunique() == 1:\n", + " data = data.drop(column, axis=1)\n", + " print(f\"Column '{column}' dropped due to having only one unique value.\")\n", + "\n", + " # Print the shape of the cleaned data\n", + " print(f\"Cleaned data shape: {data.shape}\")\n", + "\n", + " # print(\"After Cleaning\")\n", + " # stat_analysis_and_plots(data)\n", + " \n", + " print(\"Data cleaning process completed.\")\n", + " \n", + " # Return the cleaned data\n", + " return data" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:22.653819Z", + "start_time": "2024-03-20T11:36:22.643573Z" + } + }, + "id": "685463c2d6065b08", + "execution_count": 80 + }, + { + "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading data from pickle file...\n" + ] + }, + { + "data": { + "text/plain": "
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" 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+ }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data loaded successfully.\n", + "First few rows of the data:\n", + " NLOS RANGE FP_IDX MAX_NOISE FRAME_LEN PREAM_LEN CIR0 \\\n", + "0 1 6.18 749.0 3668.0 2 0 747.646447 \n", + "1 1 4.54 741.0 1031.0 2 0 123.353553 \n", + "2 1 4.39 744.0 796.0 0 0 439.646447 \n", + "3 1 1.27 748.0 1529.0 2 0 233.353553 \n", + "4 0 1.16 743.0 2022.0 0 0 82.353553 \n", + "\n", + " CIR1 CIR2 CIR3 ... CIR1010 CIR1011 \\\n", + "0 367.353553 744.646447 717.646447 ... 726.646447 367.353553 \n", + "1 470.646447 409.353553 332.353553 ... 491.353553 403.646447 \n", + "2 447.646447 130.353553 96.353553 ... 271.646447 73.353553 \n", + "3 239.353553 175.646447 532.646447 ... 225.353553 154.646447 \n", + "4 219.646447 110.646447 293.353553 ... 132.353553 131.353553 \n", + "\n", + " CIR1012 CIR1013 CIR1014 CIR1015 RX_Level \\\n", + "0 802.646447 818.646447 466.646447 767.646447 -33.465374 \n", + "1 334.353553 210.353553 102.353553 0.353553 -34.892422 \n", + "2 125.353553 169.353553 182.353553 0.000000 -38.436975 \n", + "3 171.646447 277.646447 317.646447 0.000000 -21.918230 \n", + "4 102.353553 126.353553 162.646447 0.353553 -21.603535 \n", + "\n", + " First_Path_Power_Level SNR Total_Distance \n", + "0 -39.074609 37.700000 234035.764530 \n", + "1 -53.179491 95.794118 127050.760471 \n", + "2 -49.812107 55.384615 115175.236492 \n", + "3 -25.863535 200.859375 101750.988607 \n", + "4 -23.232193 152.723684 119190.284232 \n", + "\n", + "[5 rows x 1026 columns]\n", + "Column headers:\n", + "Index(['NLOS', 'RANGE', 'FP_IDX', 'MAX_NOISE', 'FRAME_LEN', 'PREAM_LEN',\n", + " 'CIR0', 'CIR1', 'CIR2', 'CIR3',\n", + " ...\n", + " 'CIR1010', 'CIR1011', 'CIR1012', 'CIR1013', 'CIR1014', 'CIR1015',\n", + " 'RX_Level', 'First_Path_Power_Level', 'SNR', 'Total_Distance'],\n", + " dtype='object', length=1026)\n" + ] + } + ], + "source": [ + "import pickle\n", + "\n", + "# File='data_original.pkl'\n", + "File = 'data.pkl'\n", + "\n", + "# Check if the file exists\n", + "if os.path.exists(File):\n", + " # If the file exists, load it\n", + " print(\"Loading data from pickle file...\")\n", + " with open(File, 'rb') as f:\n", + " data = pickle.load(f)\n", + " # plot_features(data, data['NLOS'], \"First_Path_Power_Level\", \"RX_Level\")\n", + " # plot_features(data, data['NLOS'], \"SNR\", \"RX_Level\")\n", + " # plot_features(data, data['NLOS'], \"SNR\", \"First_Path_Power_Level\")\n", + " snr_graph(data)\n", + " cir_graphs(data)\n", + " print(\"Data loaded successfully.\")\n", + "else:\n", + " # If the file doesn't exist, load and clean the data\n", + " print(\"Pickle file not found. Loading and cleaning data...\")\n", + " data = load_data(DATASET_DIR)\n", + " cir_graphs(data)\n", + " data = clean_data(data)\n", + " plot_features(data, data['NLOS'], \"First_Path_Power_Level\", \"RX_Level\")\n", + " snr_graph(data)\n", + " cir_graphs(data)\n", + " print(calculate_total_distance(data))\n", + " print(\"Data loaded and cleaned successfully.\")\n", + " print(\"Saving cleaned data to pickle file...\")\n", + " with open(File, 'wb') as f:\n", + " pickle.dump(data, f)\n", + " print(\"Cleaned data saved to pickle file successfully.\")\n", + "\n", + "print(\"First few rows of the data:\")\n", + "print(data.head())\n", + "\n", + "# Print Headers\n", + "print(\"Column headers:\")\n", + "print(data.columns)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.311103Z", + "start_time": "2024-03-20T11:36:22.707131Z" + } + }, + "id": "79c2c23691b26753", + "execution_count": 81 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "MODEL_DIR = './models'\n", + "\n", + "\n", + "def train_and_save_model(classifier, X_train, y_train, file_name):\n", + " if not os.path.exists(MODEL_DIR):\n", + " os.makedirs(MODEL_DIR)\n", + "\n", + " file_path = os.path.join(MODEL_DIR, file_name)\n", + "\n", + " # Check if the file exists\n", + " if not os.path.exists(file_path):\n", + " print(f\"Training the model and saving it to {file_path}\")\n", + " # Train the classifier\n", + " classifier.fit(X_train, y_train)\n", + "\n", + " # Save the trained model as a pickle string.\n", + " saved_model = pickle.dumps(classifier)\n", + "\n", + " # Save the pickled model to a file\n", + " with open(file_path, 'wb') as file:\n", + " file.write(saved_model)\n", + "\n", + " # Load the pickled model from the file\n", + " with open(file_path, 'rb') as file:\n", + " loaded_model = pickle.load(file)\n", + "\n", + " return loaded_model" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.316699Z", + "start_time": "2024-03-20T11:36:26.312417Z" + } + }, + "id": "12e16974341e6266", + "execution_count": 82 + }, + { + "cell_type": "markdown", + "source": [ + "The selected code is performing data standardization, which is a common preprocessing step in many machine learning workflows. \n", + "\n", + "The purpose of standardization is to transform the data such that it has a mean of 0 and a standard deviation of 1. This is done to ensure that all features have the same scale, which is a requirement for many machine learning algorithms.\n", + "\n", + "The mathematical formulas used in this process are as follows:\n", + "\n", + "1. Calculate the mean (μ) of the data:\n", + "\n", + "$$\n", + "\\mu = \\frac{1}{n} \\sum_{i=1}^{n} x_i\n", + "$$\n", + "Where:\n", + "- $n$ is the number of observations in the data\n", + "- $x_i$ is the value of the $i$-th observation\n", + "- $\\sum$ denotes the summation over all observations\n", + "\n", + "2. Standardize the data by subtracting the mean from each observation and dividing by the standard deviation:\n", + "\n", + "$$\n", + "\\text{Data}_i = \\frac{x_i - \\mu}{\\sigma}\n", + "$$\n", + "Where:\n", + "- $\\text{Data}_i$ is the standardized value of the $i$-th observation\n", + "- $\\sigma$ is the standard deviation of the data\n", + "- $x_i$ is the value of the $i$-th observation\n", + "- $\\mu$ is the mean of the data\n", + "\n", + "The `StandardScaler` class from the `sklearn.preprocessing` module is used to perform this standardization. The `fit_transform` method is used to calculate the mean and standard deviation of the data and then perform the standardization.\n", + "\n", + "**Note:** By setting the explained variance to 0.95, we are saying that we want to choose the smallest number of principal components such that 95% of the variance in the original data is retained. This means that the transformed data will retain 95% of the information of the original data, while potentially having fewer dimensions.\n" + ], + "metadata": { + "collapsed": false + }, + "id": "b36814c942066d6" + }, + { + "cell_type": "markdown", + "source": [ + "## Data Mining / Machine Learning\n", + "\n", + "### I. Supervised Learning\n", + "- **Decision**: Supervised learning is used due to the labeled dataset.\n", + "- **Algorithm**: Random Forest Classifier is preferred for its performance in classification tasks.\n", + "\n", + "### II. Training/Test Split Ratio\n", + "- **Decision**: 70:30 split is chosen for training/test dataset.\n", + "- **Reasoning**: This split ensures sufficient data for training and testing.\n", + "\n", + "### III. Performance Metrics\n", + "- **Classification Accuracy**: Measures the proportion of correctly classified instances.\n", + "- **Confusion Matrix**: Provides a summary of predicted and actual classes.\n", + "- **Classification Report**: Provides detailed metrics such as precision, recall, F1-score, and support for each class.\n", + "\n", + "The Random Forest Classifier is trained on the training set and evaluated on the test set using accuracy and classification report metrics.\n" + ], + "metadata": { + "collapsed": false + }, + "id": "8fefd253728ea2f0" + }, + { + "cell_type": "markdown", + "source": [ + "# Split the data into training and testing sets\n", + "\n", + "The next step is to split the data into training and testing sets. This is a common practice in machine learning, where the training set is used to train the model, and the testing set is used to evaluate its performance.\n", + "\n", + "We will use the `train_test_split` function from the `sklearn.model_selection` module to split the data into training and testing sets. We will use 70% of the data for training and 30% for testing, which is a common split ratio." + ], + "metadata": { + "collapsed": false + }, + "id": "7d64d6490fa1c2c2" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.model_selection import train_test_split\n", + "# from tensorflow.keras.utils import to_categorical\n", + "\n", + "# Assuming 'NLOS' is your target column\n", + "# y = data['NLOS']\n", + "\n", + "# Convert labels to categorical one-hot encoding\n", + "# y_categorical = to_categorical(y, num_classes=2)\n", + "\n", + "# Now split the data\n", + "# X_train, X_test, y_train, y_test = train_test_split(data, y_categorical, test_size=0.2)\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.322428Z", + "start_time": "2024-03-20T11:36:26.318009Z" + } + }, + "id": "54d2a6506b584a03", + "execution_count": 83 + }, + { + "cell_type": "markdown", + "source": [ + "# Train a Random Forest Classifier\n", + "\n", + "The next step is to train a machine learning model on the training data. We will use the `RandomForestClassifier` class from the `sklearn.ensemble` module to train a random forest classifier.\n", + "\n", + "The random forest classifier is an ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees.\n", + "\n", + "We will use the `fit` method of the `RandomForestClassifier` object to train the model on the training data." + ], + "metadata": { + "collapsed": false + }, + "id": "ab55160e30fd6f99" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.ensemble import RandomForestClassifier\n", + "# \n", + "# # Initialize the classifier with parameters to prevent overfitting\n", + "# classifier = RandomForestClassifier(n_estimators=200, max_depth=10, min_samples_split=10, min_samples_leaf=5, max_features='sqrt')\n", + "# \n", + "# loaded_model = train_and_save_model(classifier, X_train, y_train, 'random_forest_classifier.pkl')\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.327125Z", + "start_time": "2024-03-20T11:36:26.324423Z" + } + }, + "id": "dc485f3de9f8936f", + "execution_count": 84 + }, + { + "cell_type": "markdown", + "source": [ + "# Evaluate the Model\n", + "\n", + "To evaluate the performance of the trained model on the testing data, we will use the `predict` method of the `RandomForestClassifier` object to make predictions on the testing data. We will then use the `accuracy_score` and `classification_report` functions from the `sklearn.metrics` module to calculate the accuracy and generate a classification report.\n", + "\n", + "- **Accuracy:** The accuracy score function calculates the proportion of correctly classified instances.\n", + "\n", + "- **Precision:** The ratio of correctly predicted positive observations to the total predicted positive observations. It is calculated as:\n", + "\n", + " $$\n", + " \\text{Precision} = \\frac{\\text{True Positives}}{\\text{True Positives} + \\text{False Positives}}\n", + " $$\n", + "\n", + "- **Recall:** The ratio of correctly predicted positive observations to all observations in the actual class. It is calculated as:\n", + "\n", + " $$\n", + " \\text{Recall} = \\frac{\\text{True Positives}}{\\text{True Positives} + \\text{False Negatives}}\n", + " $$\n", + "\n", + "- **F1 Score:** The weighted average of precision and recall. It is calculated as:\n", + "\n", + " $$\n", + " \\text{F1 Score} = 2 \\times \\frac{\\text{Precision} \\times \\text{Recall}}{\\text{Precision} + \\text{Recall}}\n", + " $$\n", + "\n", + "- **Support:** The number of actual occurrences of the class in the dataset.\n", + "\n", + "The classification report provides a summary of the precision, recall, F1-score, and support for each class in the testing data, giving insight into how well the model is performing for each class.\n" + ], + "metadata": { + "collapsed": false + }, + "id": "424cc5954c9e81cc" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "\n", + "# Make predictions on the test set using the loaded model\n", + "# y_pred = loaded_model.predict(X_test)\n", + "# \n", + "# # Evaluate the loaded model\n", + "# accuracy = accuracy_score(y_test, y_pred)\n", + "# classification_rep = classification_report(y_test, y_pred)\n", + "# cross_val_score = cross_val_score(loaded_model, X_test, y_test, cv=5)\n", + "# \n", + "# print(f\"Accuracy: {accuracy}\")\n", + "# print(f\"Classification Report:\\n{classification_rep}\")\n", + "# print(f\"Cross Validation Score: {cross_val_score}\")\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.331098Z", + "start_time": "2024-03-20T11:36:26.328328Z" + } + }, + "id": "702b4f40dda16736", + "execution_count": 85 + }, + { + "cell_type": "markdown", + "source": [ + "# Visualize a Decision Tree from the Random Forest\n" + ], + "metadata": { + "collapsed": false + }, + "id": "41957f9babb74a3" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.tree import plot_tree\n", + "# import matplotlib.pyplot as plt\n", + "# \n", + "# # Select one tree from the forest\n", + "# estimator = loaded_model.estimators_[0]\n", + "# \n", + "# plt.figure(figsize=(100, 100))\n", + "# plot_tree(estimator,\n", + "# filled=True,\n", + "# rounded=True,\n", + "# class_names=['NLOS', 'LOS'],\n", + "# feature_names=data.columns,\n", + "# max_depth=5) # Limit the depth of the tree\n", + "# plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.334924Z", + "start_time": "2024-03-20T11:36:26.332269Z" + } + }, + "id": "1f6f826d6234591c", + "execution_count": 86 + }, + { + "cell_type": "markdown", + "source": [ + "# Support Vector Machine (SVM)" + ], + "metadata": { + "collapsed": false + }, + "id": "eef3be2c3026a909" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# import os\n", + "# from sklearn.svm import SVC\n", + "# import pickle\n", + "# \n", + "# svm = SVC(kernel='linear', random_state=42, verbose=True)\n", + "# loaded_model = train_and_save_model(svm, X_train, y_train, 'svm_classifier.pkl')\n", + "# \n", + "# # Predict the labels for the test set with each model\n", + "# y_pred_svm = loaded_model.predict(X_test)\n", + "# \n", + "# # Calculate the accuracy of each model\n", + "# accuracy_svm = accuracy_score(y_test, y_pred_svm)\n", + "# \n", + "# # Print the accuracy of each model\n", + "# print(f\"Accuracy of SVM: {accuracy_svm}\")" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.338799Z", + "start_time": "2024-03-20T11:36:26.336101Z" + } + }, + "id": "c970b0c1593d955c", + "execution_count": 87 + }, + { + "cell_type": "markdown", + "source": [ + "# Logistic Regression" + ], + "metadata": { + "collapsed": false + }, + "id": "cccaf1db0d5060a8" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.linear_model import LogisticRegression\n", + "# from sklearn.model_selection import cross_val_score\n", + "# \n", + "# # Logistic Regression with L2 regularization\n", + "# log_reg = LogisticRegression(penalty='l2', C=0.1)\n", + "# \n", + "# # Use the train_and_save_model function to train and save the model\n", + "# loaded_model = train_and_save_model(log_reg, X_train, y_train, 'logistic_regression_model.pkl')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.342498Z", + "start_time": "2024-03-20T11:36:26.339857Z" + } + }, + "id": "ee7506f4aa805faf", + "execution_count": 88 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "\n", + "# # Predict on the test set\n", + "# y_pred_log_reg = loaded_model.predict(X_test)\n", + "# \n", + "# # Calculate accuracy\n", + "# accuracy_log_reg = accuracy_score(y_test, y_pred_log_reg)\n", + "# print(f\"Accuracy of Logistic Regression: {accuracy_log_reg}\")\n", + "# \n", + "# # Perform 5-fold cross validation\n", + "# scores = cross_val_score(log_reg, X_train, y_train, cv=5)\n", + "# print(f\"Cross-validated scores: {scores}\")" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.346181Z", + "start_time": "2024-03-20T11:36:26.343627Z" + } + }, + "id": "a44d38efa4b86d93", + "execution_count": 89 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.metrics import roc_curve, auc\n", + "# import matplotlib.pyplot as plt\n", + "# \n", + "# # Compute ROC curve and ROC area for each class\n", + "# fpr, tpr, _ = roc_curve(y_test, y_pred_log_reg)\n", + "# roc_auc = auc(fpr, tpr)\n", + "# \n", + "# plt.figure()\n", + "# lw = 2\n", + "# plt.plot(fpr, tpr, color='darkorange',\n", + "# lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n", + "# plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n", + "# plt.xlim([0.0, 1.0])\n", + "# plt.ylim([0.0, 1.05])\n", + "# plt.xlabel('False Positive Rate')\n", + "# plt.ylabel('True Positive Rate')\n", + "# plt.title('Receiver Operating Characteristic')\n", + "# plt.legend(loc=\"lower right\")\n", + "# plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.352459Z", + "start_time": "2024-03-20T11:36:26.349609Z" + } + }, + "id": "a3646a4965b0707c", + "execution_count": 90 + }, + { + "cell_type": "markdown", + "source": [ + "# Gradient Boosting Classifier" + ], + "metadata": { + "collapsed": false + }, + "id": "aeaf5eeffa7ec104" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.ensemble import GradientBoostingClassifier\n", + "# \n", + "# # Gradient Boosting Classifier\n", + "# gbc = GradientBoostingClassifier()\n", + "# \n", + "# # Use the train_and_save_model function to train and save the model\n", + "# loaded_model = train_and_save_model(gbc, X_train, y_train, 'gradient_boosting_classifier.pkl')\n", + "# " + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.355930Z", + "start_time": "2024-03-20T11:36:26.353605Z" + } + }, + "id": "c7ecae5d021ad44f", + "execution_count": 91 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# y_pred_gbc = loaded_model.predict(X_test)\n", + "# accuracy_gbc = accuracy_score(y_test, y_pred_gbc)\n", + "# print(f\"Accuracy of Gradient Boosting Classifier: {accuracy_gbc}\")\n", + "# " + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.359480Z", + "start_time": "2024-03-20T11:36:26.357096Z" + } + }, + "id": "4a8a1c3a7289ef7a", + "execution_count": 92 + }, + { + "cell_type": "markdown", + "source": [ + "# K-Nearest Neighbors (KNN, K=15)\n", + "\n", + "This code block is implementing the K-Nearest Neighbors (KNN) algorithm for classification. The KNN algorithm is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until function evaluation. \n", + "\n", + "The KNN algorithm works by finding the distances between a query and all the examples in the data, selecting the specified number examples (K) closest to the query, then votes for the most frequent label (in the case of classification) or averages the labels (in the case of regression). \n", + "\n", + "The number of neighbors, K, is set to 15 in this case. This means that the algorithm looks at the 15 nearest neighbors to decide the class of the test instance. \n", + "\n", + "The mathematical concept behind KNN is the Euclidean distance. Given two points P1(x1, y1) and P2(x2, y2) in a 2D space, the Euclidean distance between P1 and P2 is calculated as:\n", + "\n", + "$$\n", + "\\text{Distance} = \\sqrt{(x2 - x1)^2 + (y2 - y1)^2}\n", + "$$\n", + "In higher dimensional space, the formula is generalized as:\n", + "$$\n", + "\\text{Distance} = \\sqrt{\\sum_{i=1}^{n} (x_i - y_i)^2}\n", + "$$\n", + "Where:\n", + "- $n$ is the number of dimensions\n", + "- $x_i$ and $y_i$ are the $i$-th dimensions of the two points\n" + ], + "metadata": { + "collapsed": false + }, + "id": "25102568a6e5c457" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.neighbors import KNeighborsClassifier\n", + "# \n", + "# # K-Nearest Neighbors\n", + "# knn = KNeighborsClassifier(n_neighbors=13)\n", + "# loaded_model = train_and_save_model(knn, X_train, y_train, 'knn_classifier.pkl')\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.362915Z", + "start_time": "2024-03-20T11:36:26.360642Z" + } + }, + "id": "705c62e64bf6d614", + "execution_count": 93 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# y_pred_knn = loaded_model.predict(X_test)\n", + "# accuracy_knn = accuracy_score(y_test, y_pred_knn)\n", + "# print(f\"Accuracy of K-Nearest Neighbors: {accuracy_knn}\")" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.366441Z", + "start_time": "2024-03-20T11:36:26.364032Z" + } + }, + "id": "cf4df4ef7bbfd74", + "execution_count": 94 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.model_selection import GridSearchCV\n", + "# \n", + "# # Define the parameter values that should be searched\n", + "# k_range = list(range(1, 31))\n", + "# \n", + "# # Create a parameter grid: map the parameter names to the values that should be searched\n", + "# param_grid = dict(n_neighbors=k_range)\n", + "# \n", + "# # Instantiate the grid\n", + "# grid = GridSearchCV(knn, param_grid, cv=10, scoring='accuracy')\n", + "# \n", + "# # Fit the grid with data\n", + "# grid.fit(X_train, y_train)\n", + "# \n", + "# # View the complete results\n", + "# grid.cv_results_\n", + "# \n", + "# # Examine the best model\n", + "# print(grid.best_score_)\n", + "# print(grid.best_params_)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.370553Z", + "start_time": "2024-03-20T11:36:26.367583Z" + } + }, + "id": "faabcf63e34005a9", + "execution_count": 95 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# import matplotlib.pyplot as plt\n", + "# import numpy as np\n", + "# \n", + "# # Apply PCA to reduce dimensionality to 2D\n", + "# pca = PCA(n_components=2)\n", + "# X_test_2d = pca.fit_transform(X_test)\n", + "# \n", + "# # Print the number of features\n", + "# print(f\"Original number of features: {X_test.shape[1]}, reduced number of features: {X_test_2d.shape[1]}\")\n", + "# \n", + "# # Create a scatter plot\n", + "# plt.figure(figsize=(10, 7))\n", + "# \n", + "# # Create a color map\n", + "# cmap = plt.cm.viridis\n", + "# \n", + "# # Plot NLOS points\n", + "# nlos = plt.scatter(X_test_2d[y_pred_knn == 1, 0], X_test_2d[y_pred_knn == 1, 1], c='blue', label='NLOS')\n", + "# \n", + "# # Plot LOS points\n", + "# los = plt.scatter(X_test_2d[y_pred_knn == 0, 0], X_test_2d[y_pred_knn == 0, 1], c='red', label='LOS')\n", + "# \n", + "# # Add labels\n", + "# plt.xlabel('Principal Component 1')\n", + "# plt.ylabel('Principal Component 2')\n", + "# plt.title('2D Scatter Plot for LOS and NLOS')\n", + "# \n", + "# # Add a legend\n", + "# plt.legend(handles=[nlos, los])\n", + "# \n", + "# plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.374844Z", + "start_time": "2024-03-20T11:36:26.371738Z" + } + }, + "id": "2ed22b3fc59f74e6", + "execution_count": 96 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.neighbors import KNeighborsClassifier\n", + "# from sklearn.metrics import accuracy_score\n", + "# import matplotlib.pyplot as plt\n", + "# \n", + "# # Define the list of numbers of neighbors (from 1-20)\n", + "# num_neighbors = np.arange(1, 100, 2)\n", + "# \n", + "# # Initialize the lists to store the accuracies\n", + "# train_acc = []\n", + "# test_acc = []\n", + "# \n", + "# # Loop over the different numbers of neighbors\n", + "# for k in num_neighbors:\n", + "# # Initialize the KNN classifier\n", + "# clf = KNeighborsClassifier(n_neighbors=k)\n", + "# \n", + "# # Fit the classifier on the training data\n", + "# clf.fit(X_train, y_train)\n", + "# \n", + "# # Make predictions on the training and test data\n", + "# y_pred_train = clf.predict(X_train)\n", + "# y_pred_test = clf.predict(X_test)\n", + "# \n", + "# # Calculate the accuracies\n", + "# train_acc.append(accuracy_score(y_train, y_pred_train))\n", + "# test_acc.append(accuracy_score(y_test, y_pred_test))\n", + "# \n", + "# # Plot the accuracies\n", + "# plt.figure(figsize=(10, 5))\n", + "# plt.plot(num_neighbors, train_acc, 'ro-', num_neighbors, test_acc, 'bv--')\n", + "# plt.legend(['Training Accuracy', 'Test Accuracy'])\n", + "# plt.xlabel('Number of Neighbors')\n", + "# plt.ylabel('Accuracy')\n", + "# plt.title('Training and Test Accuracy for Different Numbers of Neighbors in KNN')\n", + "# plt.grid()\n", + "# plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.379861Z", + "start_time": "2024-03-20T11:36:26.375928Z" + } + }, + "id": "4ac86c268055c1b8", + "execution_count": 97 + }, + { + "cell_type": "markdown", + "source": [ + "# Naive Bayes" + ], + "metadata": { + "collapsed": false + }, + "id": "5b9b66f92968957c" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.naive_bayes import GaussianNB\n", + "# \n", + "# # Naive Bayes\n", + "# nb = GaussianNB()\n", + "# loaded_model = train_and_save_model(nb, X_train, y_train, 'naive_bayes_classifier.pkl')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.383672Z", + "start_time": "2024-03-20T11:36:26.381305Z" + } + }, + "id": "3d984228fb1d3026", + "execution_count": 98 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# y_pred_nb = loaded_model.predict(X_test)\n", + "# accuracy_nb = accuracy_score(y_test, y_pred_nb)\n", + "# print(f\"Accuracy of Naive Bayes: {accuracy_nb}\")" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.387312Z", + "start_time": "2024-03-20T11:36:26.384890Z" + } + }, + "id": "98cd350871bc3201", + "execution_count": 99 + }, + { + "cell_type": "markdown", + "source": [ + "# K-Means Clustering" + ], + "metadata": { + "collapsed": false + }, + "id": "92c8498137a5e32e" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.cluster import KMeans\n", + "# \n", + "# # K-Means Clustering\n", + "# kmeans = KMeans(n_clusters=2, max_iter=600)\n", + "# loaded_model = train_and_save_model(kmeans, X_train, y_train, 'kmeans_clustering.pkl')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.390727Z", + "start_time": "2024-03-20T11:36:26.388474Z" + } + }, + "id": "305a796294814705", + "execution_count": 100 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# y_pred_kmeans = loaded_model.predict(X_test)\n", + "# accuracy_kmeans = accuracy_score(y_test, y_pred_kmeans)\n", + "# print(f\"Accuracy of K-Means Clustering: {accuracy_kmeans}\")\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.394465Z", + "start_time": "2024-03-20T11:36:26.392061Z" + } + }, + "id": "494bb537046bf5a7", + "execution_count": 101 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# labels = loaded_model.labels_\n", + "# # Print the data table with the cluster labels\n", + "# print(f\"Data table with cluster labels:\\n{pd.concat([X_test, pd.DataFrame({'Cluster': labels})], axis=1)}\")\n", + "# \n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.398192Z", + "start_time": "2024-03-20T11:36:26.395730Z" + } + }, + "id": "62401c8d1a4d61cc", + "execution_count": 102 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.cluster import KMeans\n", + "# from sklearn.metrics import accuracy_score\n", + "# from sklearn.decomposition import PCA\n", + "# from mpl_toolkits.mplot3d import Axes3D\n", + "# import matplotlib.pyplot as plt\n", + "# \n", + "# # Define the range of cluster numbers\n", + "# cluster_range = range(1, 15)\n", + "# \n", + "# # For each number of clusters\n", + "# for n_clusters in cluster_range:\n", + "# # Create a KMeans model\n", + "# kmeans = KMeans(n_clusters=n_clusters, max_iter=600)\n", + "# \n", + "# # Fit the model to the training data\n", + "# kmeans.fit(X_train)\n", + "# \n", + "# # Make predictions on the test data\n", + "# y_pred_kmeans = kmeans.predict(X_test)\n", + "# \n", + "# # Calculate the accuracy of the model\n", + "# accuracy_kmeans = accuracy_score(y_test, y_pred_kmeans)\n", + "# \n", + "# # Print the number of clusters and the corresponding accuracy\n", + "# print(f\"Number of clusters: {n_clusters}, Accuracy: {accuracy_kmeans}\")\n", + "# \n", + "# # Apply PCA to reduce dimensionality to 3D\n", + "# pca = PCA(n_components=3)\n", + "# X_test_3d = pca.fit_transform(X_test)\n", + "# \n", + "# # Create a 3D scatter plot\n", + "# fig = plt.figure(figsize=(10, 7))\n", + "# ax = fig.add_subplot(111, projection='3d')\n", + "# \n", + "# # Create a color map\n", + "# cmap = plt.cm.get_cmap('viridis', n_clusters) # We use 'viridis' colormap and we specify that we have n_clusters\n", + "# \n", + "# # Plot the points with colors according to their cluster assignment\n", + "# scatter = ax.scatter(X_test_3d[:, 0], X_test_3d[:, 1], X_test_3d[:, 2], c=y_pred_kmeans, cmap=cmap)\n", + "# \n", + "# # Add labels\n", + "# ax.set_xlabel('Principal Component 1')\n", + "# ax.set_ylabel('Principal Component 2')\n", + "# ax.set_zlabel('Principal Component 3')\n", + "# plt.title(f'3D Visualization of {n_clusters} Clusters')\n", + "# \n", + "# # Display the plot\n", + "# plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.403315Z", + "start_time": "2024-03-20T11:36:26.399350Z" + } + }, + "id": "f0f5284581e70e6e", + "execution_count": 103 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# from sklearn.decomposition import PCA\n", + "# import matplotlib.pyplot as plt\n", + "# \n", + "# # Apply PCA to reduce dimensionality to 2D\n", + "# pca = PCA(n_components=2)\n", + "# X_test_2d = pca.fit_transform(X_test)\n", + "# \n", + "# # Predict the cluster labels for the data points you're plotting\n", + "# labels = loaded_model.predict(X_test)\n", + "# \n", + "# # Create a scatter plot\n", + "# plt.figure(figsize=(10, 7))\n", + "# \n", + "# # Create a color map\n", + "# cmap = plt.cm.get_cmap('viridis', 2) # We use 'viridis' colormap and we specify that we have 2 clusters\n", + "# \n", + "# # Plot the points with colors according to their cluster assignment\n", + "# plt.scatter(X_test_2d[:, 0], X_test_2d[:, 1], c=labels, cmap=cmap)\n", + "# \n", + "# # Add labels\n", + "# plt.xlabel('Principal Component 1')\n", + "# plt.ylabel('Principal Component 2')\n", + "# plt.title('2D Visualization of Clusters')\n", + "# \n", + "# # Display the plot\n", + "# plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:36:26.407446Z", + "start_time": "2024-03-20T11:36:26.404679Z" + } + }, + "id": "82c7ba8cbb2aa17a", + "execution_count": 104 + }, + { + "cell_type": "markdown", + "source": [ + "# Convolution Neural Network\n", + "\n", + "This code block is implementing a Convolutional Neural Network (CNN) for a classification task using TensorFlow. The CNN is a class of deep learning neural networks, most commonly applied to analyzing visual imagery. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics. Here's a step-by-step breakdown of what the code does: \n", + "1. Data Preparation: The target column 'NLOS' is separated from the rest of the dataset. The target values are then encoded from categorical to numerical values using LabelEncoder. These numerical values are then one-hot encoded to create binary variables for each class. \n", + "2. Data Reshaping: The input data is reshaped to fit the model. Each data instance is reshaped to a 3D array where the third dimension represents the number of input channels, which is 1 in this case. \n", + "3. Data Splitting: The data is split into training and testing sets using a 80:20 ratio. \n", + "4. Model Creation: A Sequential model is created using Keras. This model is composed of the following layers: \n", + "5. Conv1D layers: These are convolutional layers that will convolve the input data with a set of learnable filters, each producing one feature map in the output. The kernel size is set to 3, and the activation function used is ReLU (Rectified Linear Unit). \n", + "6. MaxPooling1D layers: These layers are used to down-sample the input along its spatial dimensions (height and width). The pool size is set to 2. \n", + "7. Dense layers: These are fully connected layers. The first Dense layer has 64 units and uses the ReLU activation function. The second Dense layer has a number of units equal to the number of classes and uses the softmax activation function to output a probability distribution over the classes. \n", + "9. Model Compilation: The model is compiled with the Adam optimizer, categorical cross-entropy loss function, and accuracy as the evaluation metric. \n", + "10. Model Training: The model is trained on the training data for 10 epochs with a batch size of 32. The validation data is set to the testing set. \n", + "11. Model Evaluation: The model's performance is evaluated on the testing set and the accuracy is printed. \n", + "\n", + "12. The mathematical concept behind the Convolutional layer (Conv1D) is the convolution operation, which is a mathematical operation on two functions that produces a third function. In the context of a CNN, the two functions are the input data and the kernel or filter. The convolution operation involves sliding the kernel across the input data and computing the dot product at each position.\n", + "\n", + "The mathematical formula for the convolution operation is: $$ (f * g)(t) = \\int_{-\\infty}^{\\infty} f(\\tau)g(t - \\tau) d\\tau $$ Where: \n", + "$f$ and $g$ are the input data and kernel respectively\n", + "$t$ is the position of the kernel\n", + "$\\tau$ is a dummy integration variable\n", + "In the context of a CNN, the integral is replaced by a sum over the discrete spatial dimensions (height and width) of the input data and kernel." + ], + "metadata": { + "collapsed": false + }, + "id": "862a9b7ee430a667" + }, + { + "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/30\n", + "1050/1050 [==============================] - 26s 23ms/step - loss: 0.8091 - accuracy: 0.6635 - val_loss: 0.5219 - val_accuracy: 0.8042\n", + "Epoch 2/30\n", + "1050/1050 [==============================] - 26s 24ms/step - loss: 0.5925 - accuracy: 0.7790 - val_loss: 0.4711 - val_accuracy: 0.8326\n", + "Epoch 3/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.5297 - accuracy: 0.8096 - val_loss: 0.4609 - val_accuracy: 0.8440\n", + "Epoch 4/30\n", + "1050/1050 [==============================] - 26s 25ms/step - loss: 0.5034 - accuracy: 0.8216 - val_loss: 0.4540 - val_accuracy: 0.8443\n", + "Epoch 5/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4806 - accuracy: 0.8330 - val_loss: 0.4468 - val_accuracy: 0.8487\n", + "Epoch 6/30\n", + "1050/1050 [==============================] - 27s 25ms/step - loss: 0.4720 - accuracy: 0.8358 - val_loss: 0.4471 - val_accuracy: 0.8476\n", + "Epoch 7/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4606 - accuracy: 0.8416 - val_loss: 0.4418 - val_accuracy: 0.8496\n", + "Epoch 8/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.4517 - accuracy: 0.8451 - val_loss: 0.4389 - val_accuracy: 0.8519\n", + "Epoch 9/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4418 - accuracy: 0.8500 - val_loss: 0.4360 - val_accuracy: 0.8527\n", + "Epoch 10/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4380 - accuracy: 0.8526 - val_loss: 0.4345 - val_accuracy: 0.8535\n", + "Epoch 11/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4379 - accuracy: 0.8535 - val_loss: 0.4312 - val_accuracy: 0.8540\n", + "Epoch 12/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.4325 - accuracy: 0.8527 - val_loss: 0.4287 - val_accuracy: 0.8564\n", + "Epoch 13/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4247 - accuracy: 0.8553 - val_loss: 0.4308 - val_accuracy: 0.8533\n", + "Epoch 14/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4212 - accuracy: 0.8583 - val_loss: 0.4250 - val_accuracy: 0.8557\n", + "Epoch 15/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4187 - accuracy: 0.8575 - val_loss: 0.4292 - val_accuracy: 0.8537\n", + "Epoch 16/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4173 - accuracy: 0.8586 - val_loss: 0.4223 - val_accuracy: 0.8575\n", + "Epoch 17/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.4112 - accuracy: 0.8608 - val_loss: 0.4208 - val_accuracy: 0.8555\n", + "Epoch 18/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.4089 - accuracy: 0.8591 - val_loss: 0.4201 - val_accuracy: 0.8545\n", + "Epoch 19/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4078 - accuracy: 0.8604 - val_loss: 0.4178 - val_accuracy: 0.8556\n", + "Epoch 20/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.4061 - accuracy: 0.8635 - val_loss: 0.4183 - val_accuracy: 0.8581\n", + "Epoch 21/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3997 - accuracy: 0.8644 - val_loss: 0.4131 - val_accuracy: 0.8568\n", + "Epoch 22/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3959 - accuracy: 0.8646 - val_loss: 0.4125 - val_accuracy: 0.8582\n", + "Epoch 23/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3980 - accuracy: 0.8621 - val_loss: 0.4088 - val_accuracy: 0.8598\n", + "Epoch 24/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.3930 - accuracy: 0.8647 - val_loss: 0.4090 - val_accuracy: 0.8589\n", + "Epoch 25/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.3930 - accuracy: 0.8651 - val_loss: 0.4078 - val_accuracy: 0.8592\n", + "Epoch 26/30\n", + "1050/1050 [==============================] - 25s 24ms/step - loss: 0.3900 - accuracy: 0.8664 - val_loss: 0.4076 - val_accuracy: 0.8586\n", + "Epoch 27/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3877 - accuracy: 0.8665 - val_loss: 0.4098 - val_accuracy: 0.8582\n", + "Epoch 28/30\n", + "1050/1050 [==============================] - 24s 23ms/step - loss: 0.3849 - accuracy: 0.8691 - val_loss: 0.4071 - val_accuracy: 0.8607\n", + "Epoch 29/30\n", + "1050/1050 [==============================] - 23s 22ms/step - loss: 0.3857 - accuracy: 0.8682 - val_loss: 0.4058 - val_accuracy: 0.8601\n", + "Epoch 30/30\n", + "1050/1050 [==============================] - 24s 22ms/step - loss: 0.3871 - accuracy: 0.8673 - val_loss: 0.4040 - val_accuracy: 0.8630\n", + "263/263 [==============================] - 1s 4ms/step\n" + ] + } + ], + "source": [ + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Dropout, BatchNormalization\n", + "from tensorflow.keras.callbacks import EarlyStopping\n", + "from tensorflow.keras import regularizers\n", + "from tensorflow.keras.optimizers import Adam\n", + "from sklearn.metrics import classification_report\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Set random seed for reproducibility\n", + "tf.random.set_seed(42)\n", + "\n", + "# Drop the target column 'NLOS' from the data and assign the remaining data to X\n", + "X = data.drop('NLOS', axis=1)\n", + "# Assign the target column 'NLOS' to y\n", + "y = data['NLOS']\n", + "\n", + "# Split the data into training and testing sets with a 80:20 ratio\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "# Initialize a StandardScaler object\n", + "scaler = StandardScaler()\n", + "# Fit the scaler to the training data and transform it\n", + "X_train = scaler.fit_transform(X_train)\n", + "# Transform the testing data using the fitted scaler\n", + "X_test = scaler.transform(X_test)\n", + "\n", + "# Initialize a Sequential model\n", + "model = Sequential()\n", + "\n", + "# Add a Conv1D layer\n", + "model.add(Conv1D(filters=64, kernel_size=3, activation='relu', input_shape=(X_train.shape[1], 1), kernel_regularizer=regularizers.l2(0.001)))\n", + "model.add(BatchNormalization())\n", + "model.add(Dropout(0.5))\n", + "\n", + "# Add another Conv1D layer\n", + "model.add(Conv1D(filters=32, kernel_size=3, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", + "model.add(BatchNormalization())\n", + "model.add(Dropout(0.5))\n", + "\n", + "# Add a Flatten layer\n", + "model.add(Flatten())\n", + "\n", + "# Add a Dense layer\n", + "model.add(Dense(16, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", + "model.add(BatchNormalization())\n", + "model.add(Dropout(0.5))\n", + "\n", + "# Add the output Dense layer\n", + "model.add(Dense(1, activation='sigmoid'))\n", + "\n", + "# Define early stopping\n", + "early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n", + "\n", + "# Compile the model\n", + "model.compile(loss='binary_crossentropy', optimizer=Adam(learning_rate=0.0001), metrics=['accuracy'])\n", + "\n", + "# Train the model\n", + "history = model.fit(X_train, y_train, epochs=30, batch_size=32, validation_data=(X_test, y_test), callbacks=[early_stopping])\n", + "\n", + "# Evaluate the model\n", + "scores = model.evaluate(X_test, y_test, verbose=0)\n", + "\n", + "# Make predictions\n", + "y_pred = model.predict(X_test)\n", + "y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n", + "\n", + "# Generate a classification report\n", + "report = classification_report(y_test, y_pred_classes)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:48:39.730855Z", + "start_time": "2024-03-20T11:36:26.408455Z" + } + }, + "id": "1c1dd203ad7db076", + "execution_count": 105 + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test loss: 0.4039548933506012\n", + "Test accuracy: 0.8629761934280396\n", + "Classification Report: \n", + " precision recall f1-score support\n", + "\n", + " 0 0.83 0.91 0.87 4192\n", + " 1 0.90 0.82 0.86 4208\n", + "\n", + " accuracy 0.86 8400\n", + " macro avg 0.87 0.86 0.86 8400\n", + "weighted avg 0.87 0.86 0.86 8400\n" + ] + } + ], + "source": [ + "\n", + "# Plot the training and validation accuracy over epochs\n", + "plt.plot(history.history['accuracy'], 'ro-', history.history['val_accuracy'], 'bv--')\n", + "plt.title('Training and Test Accuracy')\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Accuracy')\n", + "plt.legend(['Training Accuracy', 'Test Accuracy'])\n", + "plt.show()\n", + "\n", + "# Plot the training and validation loss over epochs\n", + "plt.figure(figsize=(12, 6))\n", + "plt.plot(history.history['loss'], label='Training Loss')\n", + "plt.plot(history.history['val_loss'], label='Validation Loss')\n", + "plt.title('Training and Validation Loss Over Time')\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Loss')\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# Print the testing loss and accuracy\n", + "print('Test loss:', scores[0])\n", + "print('Test accuracy:', scores[1])\n", + "\n", + "# Print the classification report\n", + "print('Classification Report: \\n', report)\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:48:40.119743Z", + "start_time": "2024-03-20T11:48:39.731977Z" + } + }, + "id": "89aa08d7d1866179", + "execution_count": 106 + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" 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" 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" 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Dropout, BatchNormalization\n", + "from tensorflow.keras.callbacks import EarlyStopping\n", + "from tensorflow.keras import regularizers\n", + "from tensorflow.keras.optimizers import Adam\n", + "from sklearn.metrics import classification_report, confusion_matrix, roc_curve, auc\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Visualize Weights and Biases\n", + "for layer in model.layers:\n", + " if 'dense' in layer.name:\n", + " weights, biases = layer.get_weights()\n", + " plt.figure(figsize=(10, 5))\n", + " plt.subplot(1, 2, 1)\n", + " plt.hist(weights.flatten())\n", + " plt.title(f'{layer.name} weights')\n", + " plt.subplot(1, 2, 2)\n", + " plt.hist(biases.flatten())\n", + " plt.title(f'{layer.name} biases')\n", + " plt.show()\n", + "\n", + "\n", + "# Confusion Matrix\n", + "cm = confusion_matrix(y_test, y_pred_classes)\n", + "plt.figure(figsize=(5, 5))\n", + "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n", + "plt.title('Confusion matrix')\n", + "plt.xlabel('Predicted class')\n", + "plt.ylabel('True class')\n", + "plt.show()\n", + "\n", + "# ROC Curve\n", + "fpr, tpr, _ = roc_curve(y_test, y_pred)\n", + "roc_auc = auc(fpr, tpr)\n", + "plt.figure()\n", + "lw = 2\n", + "plt.plot(fpr, tpr, color='darkorange', lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n", + "plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n", + "plt.xlim([0.0, 1.0])\n", + "plt.ylim([0.0, 1.05])\n", + "plt.xlabel('False Positive Rate')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.title('Receiver Operating Characteristic')\n", + "plt.legend(loc=\"lower right\")\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:48:41.104783Z", + "start_time": "2024-03-20T11:48:40.121419Z" + } + }, + "id": "dd49203934ca9cf6", + "execution_count": 107 + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": "" + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Plot the model\n", + "from tensorflow.keras.utils import plot_model\n", + "\n", + "# Generate the plot\n", + "plot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:48:41.231645Z", + "start_time": "2024-03-20T11:48:41.109033Z" + } + }, + "id": "81f2d793ada5c410", + "execution_count": 108 + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "# Save the model\n", + "model.save('CNN.keras')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:48:41.298377Z", + "start_time": "2024-03-20T11:48:41.233101Z" + } + }, + "id": "6b7329b28452b82a", + "execution_count": 109 + }, + { + "cell_type": "markdown", + "source": [ + "# Multi-Layer Perceptron (MLP)\n", + "\n", + "This code block is implementing a Multi-Layer Perceptron (MLP) for a binary classification task using TensorFlow. The MLP is a class of feedforward artificial neural network that consists of at least three layers of nodes: an input layer, a hidden layer, and an output layer. Except for the input nodes, each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training.\n", + "\n", + "Here's a step-by-step breakdown of what the code does:\n", + "\n", + "1. **Data Preparation**: The target column 'NLOS' is separated from the rest of the dataset. The remaining data is assigned to X and the target column to y.\n", + "\n", + "2. **Data Splitting**: The data is split into training and testing sets using an 80:20 ratio.\n", + "\n", + "3. **Data Scaling**: A StandardScaler object is initialized and fitted to the training data. The training and testing data are then transformed using the fitted scaler.\n", + "\n", + "4. **Model Creation**: A Sequential model is created using Keras. This model is composed of the following layers:\n", + " - Dense layers: These are fully connected layers. The first Dense layer has 64 units and uses the ReLU activation function. The second and third Dense layers have 32 and 16 units respectively, and also use the ReLU activation function. The final Dense layer has 1 unit and uses the sigmoid activation function for binary classification.\n", + " - BatchNormalization layers: These layers are used to normalize the activations of the previous layer, which speeds up learning and provides some regularization, reducing generalization error.\n", + " - Dropout layers: These layers are used to prevent overfitting. They randomly set a fraction of input units to 0 at each update during training time.\n", + "\n", + "5. **Model Compilation**: The model is compiled with the Adam optimizer, binary cross-entropy loss function, and accuracy as the evaluation metric.\n", + "\n", + "6. **Model Training**: The model is trained on the training data for 20 epochs with a batch size of 32. The validation data is set to the testing set. Early stopping is used to stop training when the validation loss has not improved for 10 epochs.\n", + "\n", + "7. **Model Evaluation**: The model's performance is evaluated on the testing data and the loss and accuracy are printed. The model also makes predictions on the testing data, converts the predicted probabilities to binary outputs, and generates a classification report.\n", + "\n", + "8. **Visualization**: The training and validation accuracy and loss over epochs are plotted.\n", + "\n", + "The mathematical concept behind the Dense layer is the dot product operation, which is a mathematical operation that takes two equal-length sequences of numbers and returns a single number. In the context of a MLP, the two sequences are the input data and the weights of the neurons. The dot product operation involves multiplying each pair of input and weight and summing the result.\n", + "\n", + "The mathematical formula for the dot product operation is: $$ a \\cdot b = \\sum_{i=1}^{n} a_i b_i $$ Where:\n", + "- $a$ and $b$ are the input data and weights respectively\n", + "- $n$ is the number of dimensions (length of the sequences)\n", + "- $a_i$ and $b_i$ are the $i$-th elements of the input data and weights respectively." + ], + "metadata": { + "collapsed": false + }, + "id": "42eff9445377f73c" + }, + { + "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/20\n", + "1050/1050 [==============================] - 4s 3ms/step - loss: 1.0607 - accuracy: 0.5246 - val_loss: 0.8445 - val_accuracy: 0.6040\n", + "Epoch 2/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.9423 - accuracy: 0.5647 - val_loss: 0.7906 - val_accuracy: 0.6873\n", + "Epoch 3/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.8554 - accuracy: 0.6142 - val_loss: 0.7314 - val_accuracy: 0.7438\n", + "Epoch 4/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.7918 - accuracy: 0.6648 - val_loss: 0.6835 - val_accuracy: 0.7739\n", + "Epoch 5/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.7319 - accuracy: 0.7110 - val_loss: 0.6470 - val_accuracy: 0.7875\n", + "Epoch 6/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.6907 - accuracy: 0.7468 - val_loss: 0.6125 - val_accuracy: 0.8017\n", + "Epoch 7/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.6502 - accuracy: 0.7732 - val_loss: 0.5862 - val_accuracy: 0.8086\n", + "Epoch 8/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.6240 - accuracy: 0.7870 - val_loss: 0.5660 - val_accuracy: 0.8151\n", + "Epoch 9/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5995 - accuracy: 0.7994 - val_loss: 0.5473 - val_accuracy: 0.8213\n", + "Epoch 10/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5735 - accuracy: 0.8137 - val_loss: 0.5342 - val_accuracy: 0.8252\n", + "Epoch 11/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5655 - accuracy: 0.8177 - val_loss: 0.5221 - val_accuracy: 0.8264\n", + "Epoch 12/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5485 - accuracy: 0.8227 - val_loss: 0.5098 - val_accuracy: 0.8298\n", + "Epoch 13/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5358 - accuracy: 0.8277 - val_loss: 0.5021 - val_accuracy: 0.8342\n", + "Epoch 14/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5218 - accuracy: 0.8307 - val_loss: 0.4914 - val_accuracy: 0.8355\n", + "Epoch 15/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5076 - accuracy: 0.8371 - val_loss: 0.4864 - val_accuracy: 0.8352\n", + "Epoch 16/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5023 - accuracy: 0.8363 - val_loss: 0.4793 - val_accuracy: 0.8363\n", + "Epoch 17/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4901 - accuracy: 0.8388 - val_loss: 0.4747 - val_accuracy: 0.8361\n", + "Epoch 18/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4824 - accuracy: 0.8429 - val_loss: 0.4691 - val_accuracy: 0.8385\n", + "Epoch 19/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4719 - accuracy: 0.8455 - val_loss: 0.4645 - val_accuracy: 0.8365\n", + "Epoch 20/20\n", + "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4657 - accuracy: 0.8467 - val_loss: 0.4613 - val_accuracy: 0.8371\n", + "263/263 [==============================] - 0s 1ms/step\n" + ] + }, + { + "data": { + "text/plain": "
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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": "
" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test loss: 0.4613083004951477\n", + "Test accuracy: 0.8371428847312927\n", + "Classification Report: \n", + " precision recall f1-score support\n", + "\n", + " 0 0.80 0.90 0.85 4192\n", + " 1 0.89 0.77 0.83 4208\n", + "\n", + " accuracy 0.84 8400\n", + " macro avg 0.84 0.84 0.84 8400\n", + "weighted avg 0.84 0.84 0.84 8400\n" + ] + } + ], + "source": [ + "# Import necessary libraries\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Dense, Dropout\n", + "from tensorflow.keras.callbacks import EarlyStopping\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from tensorflow.keras.layers import BatchNormalization\n", + "from tensorflow.keras import regularizers\n", + "from tensorflow.keras.optimizers import Adam\n", + "from sklearn.metrics import confusion_matrix, roc_curve, auc\n", + "import seaborn as sns\n", + "\n", + "# Set random seed for reproducibility\n", + "tf.random.set_seed(42)\n", + "\n", + "# Drop the target column 'NLOS' from the data and assign the remaining data to X\n", + "X = data.drop('NLOS', axis=1)\n", + "# Assign the target column 'NLOS' to y\n", + "y = data['NLOS']\n", + "\n", + "# Split the data into training and testing sets with a 80:20 ratio\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "# Initialize a StandardScaler object\n", + "scaler = StandardScaler()\n", + "# Fit the scaler to the training data and transform it\n", + "X_train = scaler.fit_transform(X_train)\n", + "# Transform the testing data using the fitted scaler\n", + "X_test = scaler.transform(X_test)\n", + "\n", + "# Initialize a Sequential model\n", + "model = Sequential()\n", + "# Add a Dense layer with 64 units, ReLU activation function and L2 regularization\n", + "model.add(Dense(64, input_dim=X_train.shape[1], activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", + "# Add a BatchNormalization layer to normalize the activations of the previous layer\n", + "model.add(BatchNormalization())\n", + "# Add a Dropout layer to prevent overfitting\n", + "model.add(Dropout(0.5))\n", + "# Add another Dense layer with 32 units, ReLU activation function and L2 regularization\n", + "model.add(Dense(32, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", + "# Add another BatchNormalization layer\n", + "model.add(BatchNormalization())\n", + "# Add another Dropout layer\n", + "model.add(Dropout(0.5))\n", + "# Add another Dense layer with 16 units, ReLU activation function and L2 regularization\n", + "model.add(Dense(16, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", + "# Add another BatchNormalization layer\n", + "model.add(BatchNormalization())\n", + "# Add another Dropout layer\n", + "model.add(Dropout(0.5))\n", + "# Add the output Dense layer with 1 unit and sigmoid activation function\n", + "model.add(Dense(1, activation='sigmoid'))\n", + "\n", + "# Define early stopping to stop training when the validation loss has not improved for 10 epochs\n", + "early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n", + "\n", + "# Compile the model with Adam optimizer, binary cross-entropy loss function and accuracy as the evaluation metric\n", + "model.compile(loss='binary_crossentropy', optimizer=Adam(learning_rate=0.0001), metrics=['accuracy'])\n", + "\n", + "# Train the model on the training data for 20 epochs with a batch size of 32 and validate on the testing data\n", + "history = model.fit(X_train, y_train, epochs=20, batch_size=32, validation_data=(X_test, y_test), callbacks=[early_stopping])\n", + "\n", + "# Evaluate the model on the testing data and store the loss and accuracy in 'scores'\n", + "scores = model.evaluate(X_test, y_test, verbose=0)\n", + "\n", + "# Make predictions on the testing data\n", + "y_pred = model.predict(X_test)\n", + "# Convert the predicted probabilities to binary outputs\n", + "y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n", + "# Generate a classification report\n", + "report = classification_report(y_test, y_pred_classes)\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot training & validation accuracy values\n", + "ax.plot(history.history['accuracy'], 'ro-', label='Training Accuracy')\n", + "ax.plot(history.history['val_accuracy'], 'bv--', label='Test Accuracy')\n", + "\n", + "# Plot training & validation loss values\n", + "ax.plot(history.history['loss'], 'go-', label='Training Loss')\n", + "ax.plot(history.history['val_loss'], 'yv--', label='Validation Loss')\n", + "\n", + "ax.set_title('Combined Graph')\n", + "ax.set_ylabel('Values')\n", + "ax.set_xlabel('Epoch')\n", + "ax.legend()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Create a figure for the accuracy plot\n", + "fig1, ax1 = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot training & validation accuracy values\n", + "ax1.plot(history.history['accuracy'], 'ro-', label='Training Accuracy')\n", + "ax1.plot(history.history['val_accuracy'], 'bv--', label='Test Accuracy')\n", + "ax1.set_title('Model Accuracy')\n", + "ax1.set_ylabel('Accuracy')\n", + "ax1.set_xlabel('Epoch')\n", + "ax1.legend()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Create a figure for the loss plot\n", + "fig2, ax2 = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot training & validation loss values\n", + "ax2.plot(history.history['loss'], 'ro-', label='Training Loss')\n", + "ax2.plot(history.history['val_loss'], 'bv--', label='Validation Loss')\n", + "ax2.set_title('Model Loss')\n", + "ax2.set_ylabel('Loss')\n", + "ax2.set_xlabel('Epoch')\n", + "ax2.legend()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Show the figure\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print the testing loss and accuracy\n", + "print('Test loss:', scores[0])\n", + "print('Test accuracy:', scores[1])\n", + "# Print the classification report\n", + "print('Classification Report: \\n', report)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:49:34.073929Z", + "start_time": "2024-03-20T11:48:41.299882Z" + } + }, + "id": "c8745832a585d5ec", + "execution_count": 110 + }, + { + "cell_type": "markdown", + "source": [ + "# Multi-Layer Perceptron (MLP) visualization\n", + "This code block is used to visualize the performance of a trained Multi-Layer Perceptron (MLP) model. It generates three types of visualizations:\n", + "\n", + "1. Weights and Biases Visualization: This visualization is used to understand the distribution of weights and biases in the model's layers. For each layer in the model, if the layer is a dense layer, it retrieves the weights and biases, and plots histograms of their values. The x-axis of the histogram represents the value of the weights/biases and the y-axis represents the frequency of these values.\n", + "\n", + "2. Confusion Matrix: A confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known. It gives a more detailed breakdown of correct and incorrect classifications for each class.\n", + "\n", + "3. ROC Curve: The Receiver Operating Characteristic (ROC) curve is a plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied. It is created by plotting the true positive rate (TPR) against the false positive rate (FPR).\n", + "\n", + "## Weights and Biases Evaluation\n", + "\n", + "The weights and biases of the MLP model layers were visualized to understand their distributions. The weights in all layers (dense, dense_1, dense_2, and dense_3) are not close to zero, indicating they are likely being updated during training and contributing to the model's learning. The weight distributions show a spread around zero, suggesting the model is capturing complex relationships in the data.\n", + "\n", + "The biases in dense and dense_2 introduce a slight positive bias to the activations in subsequent layers, potentially affecting the model's predictions. The biases in dense_1 and dense_3 are centered around zero, with a slight spread towards positive values, introducing a small positive shift in the activations of the next layer.\n", + "\n", + "The impact of these biases would depend on the network architecture and data. Overall, the model's weights and biases suggest that it is learning effectively from the training data." + ], + "metadata": { + "collapsed": false + }, + "id": "4114f5c851874555" + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "
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" 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" 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" 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 1. Visualize Weights and Biases\n", + "for layer in model.layers:\n", + " if 'dense' in layer.name:\n", + " weights, biases = layer.get_weights()\n", + " plt.figure(figsize=(10, 5))\n", + " plt.subplot(1, 2, 1)\n", + " plt.hist(weights.flatten())\n", + " plt.title(f'{layer.name} weights')\n", + " plt.subplot(1, 2, 2)\n", + " plt.hist(biases.flatten())\n", + " plt.title(f'{layer.name} biases')\n", + " plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:49:35.361384Z", + "start_time": "2024-03-20T11:49:34.075287Z" + } + }, + "id": "41091791008ff727", + "execution_count": 111 + }, + { + "cell_type": "markdown", + "source": [ + "## Confusion Matrix Evaluation\n", + "\n", + "The confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known. It gives a more detailed breakdown of correct and incorrect classifications for each class.\n", + "\n", + "The confusion matrix shows that the model has a good performance in distinguishing between positive and negative instances. The majority of the instances are correctly classified, with a small number of false positives and false negatives." + ], + "metadata": { + "collapsed": false + }, + "id": "618bc6deb5ea296b" + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2. Confusion Matrix\n", + "# Convert the predicted probabilities to binary outputs\n", + "y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n", + "# Generate the confusion matrix\n", + "cm = confusion_matrix(y_test, y_pred_classes)\n", + "# Plot the confusion matrix\n", + "plt.figure(figsize=(5, 5))\n", + "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n", + "plt.title('Confusion matrix')\n", + "plt.xlabel('Predicted class')\n", + "plt.ylabel('True class')\n", + "plt.show()\n", + "\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:49:35.531355Z", + "start_time": "2024-03-20T11:49:35.362848Z" + } + }, + "id": "6b7d586ea49a858a", + "execution_count": 112 + }, + { + "cell_type": "markdown", + "source": [ + "## ROC Curve Evaluation\n", + "\n", + "The Receiver Operating Characteristic (ROC) curve is a graphical representation that illustrates the performance of a binary classification model at all classification thresholds. It is commonly used in machine learning to evaluate the performance of a classifier system for two-class problems.\n", + "\n", + "The ROC curve has two axes:\n", + "- The X-axis represents the False Positive Rate (FPR), which is the proportion of negative instances that are incorrectly classified as positive.\n", + "- The Y-axis represents the True Positive Rate (TPR), which is the proportion of positive instances that are correctly classified as positive.\n", + "\n", + "A perfect classifier would classify all positive instances correctly (TPR = 1) and all negative instances correctly (FPR = 0). This would be represented by a curve that goes straight up the left side of the ROC graph and then along the top to the right corner.\n", + "\n", + "The Area Under the Curve (AUC) is a numerical measure of the ROC curve’s performance. A larger AUC indicates a better performance. In our case, the AUC is 0.91, which is considered to be very good.\n", + "\n", + "In summary, the ROC curve shows that our binary classification model has a good performance in distinguishing between positive and negative instances." + ], + "metadata": { + "collapsed": false + }, + "id": "8645f7e159d38f0a" + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 3. ROC Curve\n", + "# Compute ROC curve and ROC area for each class\n", + "fpr, tpr, _ = roc_curve(y_test, y_pred)\n", + "roc_auc = auc(fpr, tpr)\n", + "# Plot the ROC curve\n", + "plt.figure()\n", + "lw = 2\n", + "plt.plot(fpr, tpr, color='darkorange', lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n", + "plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n", + "plt.xlim([0.0, 1.0])\n", + "plt.ylim([0.0, 1.05])\n", + "plt.xlabel('False Positive Rate')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.title('Receiver Operating Characteristic')\n", + "plt.legend(loc=\"lower right\")\n", + "plt.show()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:49:35.715900Z", + "start_time": "2024-03-20T11:49:35.532577Z" + } + }, + "id": "4d080bef0cf9bec4", + "execution_count": 113 + }, + { + "cell_type": "markdown", + "source": [ + "## Learning curve" + ], + "metadata": { + "collapsed": false + }, + "id": "5d1867cb3af9788d" + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def plot_learning_curve(history):\n", + " plt.figure(figsize=(10, 6))\n", + " plt.plot(history.history['loss'], label='Training Loss')\n", + " plt.plot(history.history['val_loss'], label='Validation Loss')\n", + " plt.plot(history.history['accuracy'], label='Training Accuracy')\n", + " plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Loss / Accuracy')\n", + " plt.title('Learning Curve')\n", + " plt.legend()\n", + " plt.show()\n", + "\n", + "plot_learning_curve(history)\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-03-20T11:49:35.981276Z", + "start_time": "2024-03-20T11:49:35.717252Z" + } + }, + "id": "c67bb53e5a864293", + "execution_count": 114 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/model_plot.png b/model_plot.png index 0050461..c66902e 100644 Binary files a/model_plot.png and b/model_plot.png differ