diff --git a/Project.ipynb b/Project.ipynb
index afa3a72..484714e 100644
--- a/Project.ipynb
+++ b/Project.ipynb
@@ -1827,7 +1827,37 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# Multi-layer Perceptron (MLP)"
+    "# 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
@@ -1837,44 +1867,57 @@
   {
    "cell_type": "code",
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 1/10\n",
-      "1050/1050 [==============================] - 4s 3ms/step - loss: 0.8415 - accuracy: 0.6451 - val_loss: 0.6099 - val_accuracy: 0.8152\n",
-      "Epoch 2/10\n",
-      "1050/1050 [==============================] - 2s 2ms/step - loss: 0.6231 - accuracy: 0.7920 - val_loss: 0.5406 - val_accuracy: 0.8240\n",
-      "Epoch 3/10\n",
-      "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5513 - accuracy: 0.8191 - val_loss: 0.4973 - val_accuracy: 0.8348\n",
-      "Epoch 4/10\n",
-      "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5185 - accuracy: 0.8275 - val_loss: 0.4826 - val_accuracy: 0.8342\n",
-      "Epoch 5/10\n",
-      "1050/1050 [==============================] - 2s 2ms/step - loss: 0.5008 - accuracy: 0.8325 - val_loss: 0.4727 - val_accuracy: 0.8364\n",
-      "Epoch 6/10\n",
-      "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4933 - accuracy: 0.8316 - val_loss: 0.4710 - val_accuracy: 0.8336\n",
-      "Epoch 7/10\n",
-      "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4834 - accuracy: 0.8365 - val_loss: 0.4616 - val_accuracy: 0.8388\n",
-      "Epoch 8/10\n",
-      "1050/1050 [==============================] - 2s 2ms/step - loss: 0.4845 - accuracy: 0.8372 - val_loss: 0.4618 - val_accuracy: 0.8395\n",
-      "Epoch 9/10\n",
-      "1050/1050 [==============================] - 3s 2ms/step - loss: 0.4790 - accuracy: 0.8388 - val_loss: 0.4662 - val_accuracy: 0.8396\n",
-      "Epoch 10/10\n",
-      "1050/1050 [==============================] - 3s 2ms/step - loss: 0.4744 - accuracy: 0.8427 - val_loss: 0.4626 - val_accuracy: 0.8387\n",
-      "263/263 [==============================] - 0s 1ms/step\n"
+      "Epoch 1/20\n",
+      "1050/1050 [==============================] - 3s 1ms/step - loss: 1.1238 - accuracy: 0.5284 - val_loss: 0.8281 - val_accuracy: 0.6321\n",
+      "Epoch 2/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.9682 - accuracy: 0.5767 - val_loss: 0.7666 - val_accuracy: 0.7046\n",
+      "Epoch 3/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.8649 - accuracy: 0.6237 - val_loss: 0.7117 - val_accuracy: 0.7452\n",
+      "Epoch 4/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.7839 - accuracy: 0.6786 - val_loss: 0.6685 - val_accuracy: 0.7704\n",
+      "Epoch 5/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.7250 - accuracy: 0.7201 - val_loss: 0.6366 - val_accuracy: 0.7906\n",
+      "Epoch 6/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.6817 - accuracy: 0.7516 - val_loss: 0.6061 - val_accuracy: 0.8031\n",
+      "Epoch 7/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.6467 - accuracy: 0.7746 - val_loss: 0.5812 - val_accuracy: 0.8132\n",
+      "Epoch 8/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.6179 - accuracy: 0.7912 - val_loss: 0.5619 - val_accuracy: 0.8190\n",
+      "Epoch 9/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.5941 - accuracy: 0.8058 - val_loss: 0.5483 - val_accuracy: 0.8231\n",
+      "Epoch 10/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.5748 - accuracy: 0.8141 - val_loss: 0.5343 - val_accuracy: 0.8262\n",
+      "Epoch 11/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.5589 - accuracy: 0.8205 - val_loss: 0.5240 - val_accuracy: 0.8292\n",
+      "Epoch 12/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.5419 - accuracy: 0.8278 - val_loss: 0.5132 - val_accuracy: 0.8304\n",
+      "Epoch 13/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.5309 - accuracy: 0.8318 - val_loss: 0.5071 - val_accuracy: 0.8313\n",
+      "Epoch 14/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.5165 - accuracy: 0.8349 - val_loss: 0.4977 - val_accuracy: 0.8339\n",
+      "Epoch 15/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.5050 - accuracy: 0.8379 - val_loss: 0.4924 - val_accuracy: 0.8335\n",
+      "Epoch 16/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.4910 - accuracy: 0.8423 - val_loss: 0.4858 - val_accuracy: 0.8350\n",
+      "Epoch 17/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.4800 - accuracy: 0.8476 - val_loss: 0.4808 - val_accuracy: 0.8350\n",
+      "Epoch 18/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.4769 - accuracy: 0.8484 - val_loss: 0.4766 - val_accuracy: 0.8368\n",
+      "Epoch 19/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.4629 - accuracy: 0.8499 - val_loss: 0.4730 - val_accuracy: 0.8361\n",
+      "Epoch 20/20\n",
+      "1050/1050 [==============================] - 1s 1ms/step - loss: 0.4559 - accuracy: 0.8542 - val_loss: 0.4684 - val_accuracy: 0.8370\n",
+      "263/263 [==============================] - 0s 572us/step\n"
      ]
     },
     {
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/png": 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"
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1882,7 +1925,7 @@
     {
      "data": {
       "text/plain": "<Figure size 1200x600 with 1 Axes>",
-      "image/png": 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"
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1891,21 +1934,70 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test loss: 0.4626171588897705\n",
-      "Test accuracy: 0.838690459728241\n",
+      "Test loss: 0.46835771203041077\n",
+      "Test accuracy: 0.8370237946510315\n",
       "Classification Report: \n",
       "               precision    recall  f1-score   support\n",
       "\n",
-      "           0       0.79      0.92      0.85      4192\n",
-      "           1       0.90      0.76      0.83      4208\n",
+      "           0       0.80      0.89      0.85      4192\n",
+      "           1       0.88      0.78      0.83      4208\n",
       "\n",
       "    accuracy                           0.84      8400\n",
-      "   macro avg       0.85      0.84      0.84      8400\n",
-      "weighted avg       0.85      0.84      0.84      8400\n"
+      "   macro avg       0.84      0.84      0.84      8400\n",
+      "weighted avg       0.84      0.84      0.84      8400\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1000x500 with 2 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1000x500 with 2 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1000x500 with 2 Axes>",
+      "image/png": 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5evRot1smz5o1y/Ts2dNERkYau91uWrVqZf7nf/7HOBwOt+2Ki4tNRkaGiY+PN/7+/iY2Ntb07dvXvPzyyx6Pdffu3Wbo0KEmNDTUBAUFmT59+pgNGzZUefs//vGPRpJ58803XW0nT540l112mQkICDC//PJLhW2qUn9lt542xpj58+ebxMREY7fbTadOncz7779v0tPTTWJiYoVtn3322QrHlmSmTJnienzq1CkzYcIEExUVZWw2m+s1fvvtt02/fv1MdHS0CQgIMAkJCWb8+PHm4MGDVX5uAKA+MGddeM769bzw97//3cTHxxu73W569OhhvvzyS7e+lT1377//vklKSjKBgYGmefPm5umnnzavvPKKkWT27NljjDlze+yRI0eahIQEY7fbTXR0tPmv//ovs2nTpgr1vPzyyyY5OdkEBQWZkJAQ07lzZ/PQQw+ZAwcOeLwvXFpsxlThm8cALKVLly6KioriNtEAAMDS+M4OYGFlZWUVbi26cuVKffnll+rdu7d3igIAAKgnnNkBdOZLn6dPnz7n+oCAAEVERNRjRbVj7969SktL06233qq4uDh98803eumllxQWFqZt27YpMjLS2yUCADxk1TkLqAuEHUBS8+bNXX+EszK9evXSypUr66+gWuJwOHTnnXdqzZo1+uGHH9SoUSP17dtX2dnZatWqlbfLAwBUg1XnLKAuEHYAnflLz7/88ss51zdu3Nh1FzIAALyJOQuoOsIOAAAAAEviBgUAAAAALKnB/VHR8vJyHThwQCEhIbLZbN4uBwAuKcYYHT16VHFxcVX66+qXCuYmAPCOms5LDS7sHDhwQPHx8d4uAwAuaYWFhWratKm3y2gwmJsAwLuqOy81uLATEhIi6cyAQkNDvVwNAFxaSktLFR8f7/osxhnMTQDgHTWdlxpc2Dl7eUBoaCgTCgB4CZdquWNuAgDvqu68xAXZAAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAsLzHHntMNpvNbUlMTPR2WQCAOubn7QIAAKgPHTt21IoVK1yP/fyYAgHA6vikBwBcEvz8/BQbG+vtMgAA9YjL2AAAl4SdO3cqLi5OLVu21KhRo7R//35vlwQAqGOc2QEAWF5KSormzp2rdu3a6eDBg5o6dap69Oihbdu2KSQkpEJ/p9Mpp9PpelxaWlqf5QIAaglhB5bTfPKHXj3+3uyBXj0+gIoGDBjg+ndSUpJSUlLUrFkzvfXWWxo3blyF/llZWZo6dWp9lghYGnMzvIXL2AAAl5zw8HC1bdtWu3btqnR9ZmamHA6HayksLKznCgEAtYGwAwC45Bw7dky7d+9WkyZNKl1vt9sVGhrqtgAALj6EHQCA5T344INatWqV9u7dq88//1xDhw6Vr6+vRo4c6e3SAAB1iO/sAAAs77vvvtPIkSN1+PBhRUVFqXv37lq3bp2ioqK8XRoAoA4RdoBa5u0vYUp8ERP4rfnz53u7BACAF3AZGwAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABL8ijsNG/eXDabrcKSkZEhSTpx4oQyMjIUGRmp4OBgpaenq7i4uE4KBwAAAIDz8SjsbNy4UQcPHnQty5cvlyT98Y9/lCQ98MADWrx4sRYsWKBVq1bpwIEDGjZsWO1XDQAAAAAX4OdJ56ioKLfH2dnZatWqlXr16iWHw6E5c+Zo3rx56tOnjyQpNzdX7du317p169StW7faqxoAAAAALqDa39k5efKkXn/9dY0dO1Y2m035+fkqKytTWlqaq09iYqISEhK0du3ac+7H6XSqtLTUbQEAAACAmqp22Fm0aJFKSkp0++23S5KKiooUEBCg8PBwt34xMTEqKio6536ysrIUFhbmWuLj46tbEgAAAAC4VDvszJkzRwMGDFBcXFyNCsjMzJTD4XAthYWFNdofAAAAAEgefmfnrH379mnFihV69913XW2xsbE6efKkSkpK3M7uFBcXKzY29pz7stvtstvt1SkDAAAAAM6pWmd2cnNzFR0drYEDB7rakpOT5e/vr7y8PFdbQUGB9u/fr9TU1JpXCgAAAAAe8PjMTnl5uXJzczV69Gj5+f2/zcPCwjRu3DhNnDhRERERCg0N1YQJE5Samsqd2AAAAADUO4/DzooVK7R//36NHTu2wrpp06bJx8dH6enpcjqd6t+/v2bMmFErhQIAAACAJzwOO/369ZMxptJ1gYGBysnJUU5OTo0LAwAAAICaqPbd2AAAAACgISPsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkP28XAOtpPvlDb5cAAAAAcGYHAAAAgDURdgAAAABYEmEHAAAAgCURdgAAAABYEmEHAAAAgCURdgAAAABYEmEHAAAAgCURdgAAAABYEmEHAAAAgCX5ebsA1L7mkz/0dgkAAACA13FmBwAAAIAlEXYAAAAAWBJhBwAAAIAlEXYAAAAAWBJhBwAAAIAlEXYAAAAAWBJhBwAAAIAlEXYAAAAAWBJhBwAAAIAl+Xm7ACtqPvlDb5eAS5y3fwb3Zg/06vEBAACkapzZ+f7773XrrbcqMjJSQUFB6ty5szZt2uRab4zRo48+qiZNmigoKEhpaWnauXNnrRYNAAAAABfiUdj56aefdP3118vf319LlizR9u3b9fe//12NGzd29XnmmWf0j3/8Qy+99JLWr1+vRo0aqX///jpx4kStFw8AAAAA5+LRZWxPP/204uPjlZub62pr0aKF69/GGE2fPl0PP/ywBg8eLEl67bXXFBMTo0WLFunmm2+upbIBAAAA4Pw8OrPz/vvv65prrtEf//hHRUdH66qrrtLs2bNd6/fs2aOioiKlpaW52sLCwpSSkqK1a9dWuk+n06nS0lK3BQAAAABqyqOw8+2332rmzJlq06aNli1bprvuukv33nuvXn31VUlSUVGRJCkmJsZtu5iYGNe638rKylJYWJhriY+Pr844AACokuzsbNlsNt1///3eLgUAUMc8Cjvl5eW6+uqr9dRTT+mqq67SnXfeqTvuuEMvvfRStQvIzMyUw+FwLYWFhdXeFwAA57Nx40bNmjVLSUlJ3i4FAFAPPAo7TZo0UYcOHdza2rdvr/3790uSYmNjJUnFxcVufYqLi13rfstutys0NNRtAQCgth07dkyjRo3S7Nmz3W6sAwCwLo/CzvXXX6+CggK3tv/85z9q1qyZpDM3K4iNjVVeXp5rfWlpqdavX6/U1NRaKBcAgOrJyMjQwIED3b5Xei58nxQArMGju7E98MADuu666/TUU09p+PDh2rBhg15++WW9/PLLkuS6BvqJJ55QmzZt1KJFCz3yyCOKi4vTkCFD6qJ+AAAuaP78+friiy+0cePGKvXPysrS1KlT67gqAEBd8yjsXHvttVq4cKEyMzP1+OOPq0WLFpo+fbpGjRrl6vPQQw/p+PHjuvPOO1VSUqLu3btr6dKlCgwMrPXiAQC4kMLCQt13331avnx5leeizMxMTZw40fW4tLSUG+gAwEXIZowx3i7i10pLSxUWFiaHw3HRfn+n+eQPvV0C4FV7swd6uwRUkxU+g39r0aJFGjp0qHx9fV1tp0+fls1mk4+Pj5xOp9u6yljxeQHqk7f/b8S8dPGq6eevR2d2AAC42PTt21dbt251axszZowSExM1adKkCwYdAMDFi7ADALC0kJAQderUya2tUaNGioyMrNAOALAWj+7GBgAAAAAXC87sAAAuOStXrvR2CQCAesCZHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEmEHQAAAACWRNgBAAAAYEl+nnR+7LHHNHXqVLe2du3a6ZtvvpEknThxQn/5y180f/58OZ1O9e/fXzNmzFBMTEztVQygwWs++UOvHn9v9kCvHh8AADQMHp/Z6dixow4ePOhaPvvsM9e6Bx54QIsXL9aCBQu0atUqHThwQMOGDavVggEAAACgKjw6syNJfn5+io2NrdDucDg0Z84czZs3T3369JEk5ebmqn379lq3bp26detW82oBAAAAoIo8PrOzc+dOxcXFqWXLlho1apT2798vScrPz1dZWZnS0tJcfRMTE5WQkKC1a9fWXsUAAAAAUAUendlJSUnR3Llz1a5dOx08eFBTp05Vjx49tG3bNhUVFSkgIEDh4eFu28TExKioqOic+3Q6nXI6na7HpaWlno0AAAAAACrhUdgZMGCA699JSUlKSUlRs2bN9NZbbykoKKhaBWRlZVW46QEAAAAA1FSNbj0dHh6utm3bateuXYqNjdXJkydVUlLi1qe4uLjS7/iclZmZKYfD4VoKCwtrUhIAAAAASKph2Dl27Jh2796tJk2aKDk5Wf7+/srLy3OtLygo0P79+5WamnrOfdjtdoWGhrotAAAAAFBTHl3G9uCDD2rQoEFq1qyZDhw4oClTpsjX11cjR45UWFiYxo0bp4kTJyoiIkKhoaGaMGGCUlNTuRMbAAAAgHrnUdj57rvvNHLkSB0+fFhRUVHq3r271q1bp6ioKEnStGnT5OPjo/T0dLc/KgoAAAAA9c2jsDN//vzzrg8MDFROTo5ycnJqVBQAAAAA1FSNvrMDAAAAAA0VYQcAAACAJRF2AAAAAFgSYQcAAACAJRF2AAAAAFgSYQcAAACAJRF2AAAAAFgSYQcAAACAJRF2AAAAAFgSYQcAAACAJRF2AAAAAFgSYQcAAACAJRF2AAAAAFgSYQcAAACAJRF2AAAAAFgSYQcAAACAJRF2AAAAAFgSYQcAYHkzZ85UUlKSQkNDFRoaqtTUVC1ZssTbZQEA6hhhBwBgeU2bNlV2drby8/O1adMm9enTR4MHD9bXX3/t7dIAAHXIz9sFAABQ1wYNGuT2+Mknn9TMmTO1bt06dezY0UtVAQDqGmEHAHBJOX36tBYsWKDjx48rNTW10j5Op1NOp9P1uLS0tL7KAwDUIsIOAOCSsHXrVqWmpurEiRMKDg7WwoUL1aFDh0r7ZmVlaerUqfVcIepS88kfevX4e7MHevX4wKWK7+wAAC4J7dq105YtW7R+/XrdddddGj16tLZv315p38zMTDkcDtdSWFhYz9UCAGoDZ3YAAJeEgIAAtW7dWpKUnJysjRs36oUXXtCsWbMq9LXb7bLb7fVdIgCglnFmBwBwSSovL3f7Xg4AwHo4swMAsLzMzEwNGDBACQkJOnr0qObNm6eVK1dq2bJl3i4NAFCHCDsAAMs7dOiQbrvtNh08eFBhYWFKSkrSsmXLdMMNN3i7NABAHSLsAAAsb86cOd4uAQDgBXxnBwAAAIAlEXYAAAAAWBJhBwAAAIAlEXYAAAAAWBJhBwAAAIAlEXYAAAAAWBJhBwAAAIAlEXYAAAAAWBJhBwAAAIAlEXYAAAAAWBJhBwAAAIAl1SjsZGdny2az6f7773e1nThxQhkZGYqMjFRwcLDS09NVXFxc0zoBAAAAwCPVDjsbN27UrFmzlJSU5Nb+wAMPaPHixVqwYIFWrVqlAwcOaNiwYTUuFAAAAAA8Ua2wc+zYMY0aNUqzZ89W48aNXe0Oh0Nz5szR888/rz59+ig5OVm5ubn6/PPPtW7dulorGgAAAAAupFphJyMjQwMHDlRaWppbe35+vsrKytzaExMTlZCQoLVr11a6L6fTqdLSUrcFAAAAAGrKz9MN5s+fry+++EIbN26ssK6oqEgBAQEKDw93a4+JiVFRUVGl+8vKytLUqVM9LQMAAAAAzsujMzuFhYW677779MYbbygwMLBWCsjMzJTD4XAthYWFtbJfAAAAAJc2j8JOfn6+Dh06pKuvvlp+fn7y8/PTqlWr9I9//EN+fn6KiYnRyZMnVVJS4rZdcXGxYmNjK92n3W5XaGio2wIAAAAANeXRZWx9+/bV1q1b3drGjBmjxMRETZo0SfHx8fL391deXp7S09MlSQUFBdq/f79SU1Nrr2oAAAAAuACPwk5ISIg6derk1taoUSNFRka62seNG6eJEycqIiJCoaGhmjBhglJTU9WtW7faqxoAAAAALsDjGxRcyLRp0+Tj46P09HQ5nU71799fM2bMqO3DAMA5NZ/8oVePvzd7oFePDwAAzqhx2Fm5cqXb48DAQOXk5CgnJ6emuwYAAACAaqvW39kBAAAAgIaOsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkgg7AAAAACyJsAMAAADAkjwKOzNnzlRSUpJCQ0MVGhqq1NRULVmyxLX+xIkTysjIUGRkpIKDg5Wenq7i4uJaLxoAAAAALsSjsNO0aVNlZ2crPz9fmzZtUp8+fTR48GB9/fXXkqQHHnhAixcv1oIFC7Rq1SodOHBAw4YNq5PCAQAAAOB8PAo7gwYN0u9//3u1adNGbdu21ZNPPqng4GCtW7dODodDc+bM0fPPP68+ffooOTlZubm5+vzzz7Vu3bq6qh8AgAvKysrStddeq5CQEEVHR2vIkCEqKCjwdlkAgDpW7e/snD59WvPnz9fx48eVmpqq/Px8lZWVKS0tzdUnMTFRCQkJWrt2ba0UCwBAdaxatUoZGRlat26dli9frrKyMvXr10/Hjx/3dmkAgDrk5+kGW7duVWpqqk6cOKHg4GAtXLhQHTp00JYtWxQQEKDw8HC3/jExMSoqKjrn/pxOp5xOp+txaWmppyUBAHBeS5cudXs8d+5cRUdHKz8/Xz179vRSVQCAuubxmZ127dppy5YtWr9+ve666y6NHj1a27dvr3YBWVlZCgsLcy3x8fHV3hcAAFXhcDgkSREREV6uBABQlzwOOwEBAWrdurWSk5OVlZWlK6+8Ui+88IJiY2N18uRJlZSUuPUvLi5WbGzsOfeXmZkph8PhWgoLCz0eBAAAVVVeXq77779f119/vTp16lRpH6fTqdLSUrcFAHDx8fgytt8qLy+X0+lUcnKy/P39lZeXp/T0dElSQUGB9u/fr9TU1HNub7fbZbfba1oGAABVkpGRoW3btumzzz47Z5+srCxNnTq1Vo/bfPKHtbq/i83e7IHeLsGrvP36X+rP/6XuUv758yjsZGZmasCAAUpISNDRo0c1b948rVy5UsuWLVNYWJjGjRuniRMnKiIiQqGhoZowYYJSU1PVrVu3uqofAIAqu+eee/TBBx/o008/VdOmTc/ZLzMzUxMnTnQ9Li0t5TJrALgIeRR2Dh06pNtuu00HDx5UWFiYkpKStGzZMt1www2SpGnTpsnHx0fp6elyOp3q37+/ZsyYUSeFAwBQVcYYTZgwQQsXLtTKlSvVokWL8/bnqgMAsAaPws6cOXPOuz4wMFA5OTnKycmpUVEAANSmjIwMzZs3T++9955CQkJcdwkNCwtTUFCQl6sDANSVav+dHQAALhYzZ86Uw+FQ79691aRJE9fy5ptvers0AEAdqvENCgAAaOiMMd4uAQDgBZzZAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJHoWdrKwsXXvttQoJCVF0dLSGDBmigoICtz4nTpxQRkaGIiMjFRwcrPT0dBUXF9dq0QAAAABwIR6FnVWrVikjI0Pr1q3T8uXLVVZWpn79+un48eOuPg888IAWL16sBQsWaNWqVTpw4ICGDRtW64UDAAAAwPn4edJ56dKlbo/nzp2r6Oho5efnq2fPnnI4HJozZ47mzZunPn36SJJyc3PVvn17rVu3Tt26dau9ygEAAADgPGr0nR2HwyFJioiIkCTl5+errKxMaWlprj6JiYlKSEjQ2rVrK92H0+lUaWmp2wIAAAAANVXtsFNeXq77779f119/vTp16iRJKioqUkBAgMLDw936xsTEqKioqNL9ZGVlKSwszLXEx8dXtyQAAAAAcKl22MnIyNC2bds0f/78GhWQmZkph8PhWgoLC2u0PwAAAACQPPzOzln33HOPPvjgA3366adq2rSpqz02NlYnT55USUmJ29md4uJixcbGVrovu90uu91enTIAAAAA4Jw8OrNjjNE999yjhQsX6uOPP1aLFi3c1icnJ8vf3195eXmutoKCAu3fv1+pqam1UzEAAAAAVIFHZ3YyMjI0b948vffeewoJCXF9DycsLExBQUEKCwvTuHHjNHHiREVERCg0NFQTJkxQamoqd2IDAAAAUK88CjszZ86UJPXu3dutPTc3V7fffrskadq0afLx8VF6erqcTqf69++vGTNm1EqxAAAAAFBVHoUdY8wF+wQGBionJ0c5OTnVLgoAAAAAaqpGf2cHAAAAABoqwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkwg4AAAAASyLsAAAAALAkP28XUBeaT/7Q2yUAAAAA8DLO7AAAAACwJMIOAMDyPv30Uw0aNEhxcXGy2WxatGiRt0sCANQDwg4AwPKOHz+uK6+8Ujk5Od4uBQBQjyz5nR0AAH5twIABGjBggLfLAADUM8IOAAC/4XQ65XQ6XY9LS0u9WA0AoLq4jA0AgN/IyspSWFiYa4mPj/d2SQCAaiDsAADwG5mZmXI4HK6lsLDQ2yUBAKqBy9gAAPgNu90uu93u7TIAADXEmR0AAAAAlsSZHQCA5R07dky7du1yPd6zZ4+2bNmiiIgIJSQkeLEyAEBdIuwAACxv06ZN+t3vfud6PHHiREnS6NGjNXfuXC9VBQCoa4QdAIDl9e7dW8YYb5cBAKhnfGcHAAAAgCURdgAAAABYEmEHAAAAgCURdgAAAABYEmEHAAAAgCURdgAAAABYEmEHAAAAgCURdgAAAABYEmEHAAAAgCURdgAAAABYEmEHAAAAgCURdgAAAABYksdh59NPP9WgQYMUFxcnm82mRYsWua03xujRRx9VkyZNFBQUpLS0NO3cubO26gUAAACAKvE47Bw/flxXXnmlcnJyKl3/zDPP6B//+IdeeuklrV+/Xo0aNVL//v114sSJGhcLAAAAAFXl5+kGAwYM0IABAypdZ4zR9OnT9fDDD2vw4MGSpNdee00xMTFatGiRbr755ppVCwAAAABVVKvf2dmzZ4+KioqUlpbmagsLC1NKSorWrl1bm4cCAAAAgPPy+MzO+RQVFUmSYmJi3NpjYmJc637L6XTK6XS6HpeWltZmSQAAAAAuUV6/G1tWVpbCwsJcS3x8vLdLAgAAAGABtRp2YmNjJUnFxcVu7cXFxa51v5WZmSmHw+FaCgsLa7MkAAAAAJeoWg07LVq0UGxsrPLy8lxtpaWlWr9+vVJTUyvdxm63KzQ01G0BAAAAgJry+Ds7x44d065du1yP9+zZoy1btigiIkIJCQm6//779cQTT6hNmzZq0aKFHnnkEcXFxWnIkCG1WTcAAAAAnJfHYWfTpk363e9+53o8ceJESdLo0aM1d+5cPfTQQzp+/LjuvPNOlZSUqHv37lq6dKkCAwNrr2oAAAAAuACPw07v3r1ljDnnepvNpscff1yPP/54jQoDgItV88kfevX4e7MHevX4AAA0FF6/GxsAAAAA1AXCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsCTCDgAAAABLIuwAAAAAsKQ6Czs5OTlq3ry5AgMDlZKSog0bNtTVoQAAuCDmJQC49NRJ2HnzzTc1ceJETZkyRV988YWuvPJK9e/fX4cOHaqLwwEAcF7MSwBwaaqTsPP888/rjjvu0JgxY9ShQwe99NJLuuyyy/TKK6/UxeEAADgv5iUAuDT51fYOT548qfz8fGVmZrrafHx8lJaWprVr11bo73Q65XQ6XY8dDockqbS0tNo1lDt/rva2AHCxq8nn59ltjTG1VY7XeTovScxNdaEmz11t4Pm/tJ9/b4/f2y7m57+m81Kth50ff/xRp0+fVkxMjFt7TEyMvvnmmwr9s7KyNHXq1Art8fHxtV0aAFwSwqbXfB9Hjx5VWFhYzXfUAHg6L0nMTXWhNn4uUX2X+vN/qY/f27w5L9V62PFUZmamJk6c6HpcXl6uI0eOKDIyUkePHlV8fLwKCwsVGhrqxSprX2lpKWO7CFl1bFYdl8TYPGWM0dGjRxUXF1cr+7tYnW9ustlsXqzMM1b4+b/Yx3Cx1y8xhobgYq9fqv4Yajov1XrYufzyy+Xr66vi4mK39uLiYsXGxlbob7fbZbfb3drCw8MlyTWhhIaGXrQv7IUwtouTVcdm1XFJjM0TVjmjc5an85J0/rnpYmSFn/+LfQwXe/0SY2gILvb6peqNoSbzUq3foCAgIEDJycnKy8tztZWXlysvL0+pqam1fTgAAM6LeQkALl11chnbxIkTNXr0aF1zzTXq2rWrpk+fruPHj2vMmDF1cTgAAM6LeQkALk11EnZGjBihH374QY8++qiKiorUpUsXLV26tMKXQy/EbrdrypQpFS4lsALGdnGy6tisOi6JseGM2pqXLjZW+Bm52MdwsdcvMYaG4GKvX/LeGGzGSvcXBQAAAID/X538UVEAAAAA8DbCDgAAAABLIuwAAAAAsCTCDgAAAABLanBh58iRIxo1apRCQ0MVHh6ucePG6dixY+fdZvz48WrVqpWCgoIUFRWlwYMH65tvvqmniqvG03EdOXJEEyZMULt27RQUFKSEhATde++9cjgc9Vh11VTnNXv55ZfVu3dvhYaGymazqaSkpH6KvYCcnBw1b95cgYGBSklJ0YYNG87bf8GCBUpMTFRgYKA6d+6sjz76qJ4q9ZwnY/v666+Vnp6u5s2by2azafr06fVXaDV4MrbZs2erR48eaty4sRo3bqy0tLQLvs7e5MnY3n33XV1zzTUKDw9Xo0aN1KVLF/3rX/+qx2pR22r7ffvYY4/JZrO5LYmJiW59Tpw4oYyMDEVGRio4OFjp6ekV/iCrN8dwdt1vl4yMDFef3r17V1j/5z//uV7GUJXPGGOMHn30UTVp0kRBQUFKS0vTzp073fpUZ26tj/rLyso0adIkde7cWY0aNVJcXJxuu+02HThwwG0/lb1O2dnZ1aq/tscgSbfffnuF+m688Ua3Pg31NZBU6XvAZrPp2WefdfXx5mtQlfmo3t4HpoG58cYbzZVXXmnWrVtnVq9ebVq3bm1Gjhx53m1mzZplVq1aZfbs2WPy8/PNoEGDTHx8vDl16lQ9VX1hno5r69atZtiwYeb99983u3btMnl5eaZNmzYmPT29Hquumuq8ZtOmTTNZWVkmKyvLSDI//fRT/RR7HvPnzzcBAQHmlVdeMV9//bW54447THh4uCkuLq60/5o1a4yvr6955plnzPbt283DDz9s/P39zdatW+u58gvzdGwbNmwwDz74oPn3v/9tYmNjzbRp0+q3YA94OrZbbrnF5OTkmM2bN5sdO3aY22+/3YSFhZnvvvuuniu/ME/H9sknn5h3333XbN++3ezatctMnz7d+Pr6mqVLl9Zz5agNdfG+nTJliunYsaM5ePCga/nhhx/c+vz5z3828fHxJi8vz2zatMl069bNXHfddQ1mDIcOHXKrf/ny5UaS+eSTT1x9evXqZe644w63fg6Ho17GUJXPmOzsbBMWFmYWLVpkvvzyS3PTTTeZFi1amF9++cXVpzpza33UX1JSYtLS0sybb75pvvnmG7N27VrTtWtXk5yc7LafZs2amccff9ztNTh27JjH9dfFGIwxZvTo0ebGG290q+/IkSNu+2mor4Exxq3ugwcPmldeecXYbDaze/duVx9vvgZVmY/q633QoMLO9u3bjSSzceNGV9uSJUuMzWYz33//fZX38+WXXxpJZteuXXVRpsdqa1xvvfWWCQgIMGVlZXVRZrXUdGyffPJJgwk7Xbt2NRkZGa7Hp0+fNnFxcSYrK6vS/sOHDzcDBw50a0tJSTHjx4+v0zqrw9Ox/VqzZs0adNipydiMMebUqVMmJCTEvPrqq3VVYrXVdGzGGHPVVVeZhx9+uC7KQx2ri/ftlClTzJVXXnnO7UpKSoy/v79ZsGCBq23Hjh1Gklm7dq1H9RtTP5899913n2nVqpUpLy93tfXq1cvcd999Htdbmdr+jCkvLzexsbHm2WefdfUpKSkxdrvd/Pvf/zbG1N7/G+qi/sps2LDBSDL79u1ztdXm3FEXYxg9erQZPHjwObe52F6DwYMHmz59+ri1NaTXwBj3+ag+3wcN6jK2tWvXKjw8XNdcc42rLS0tTT4+Plq/fn2V9nH8+HHl5uaqRYsWio+Pr6tSPVIb45Ikh8Oh0NBQ+fnVyd+CrZbaGpu3nTx5Uvn5+UpLS3O1+fj4KC0tTWvXrq10m7Vr17r1l6T+/fufs7+3VGdsF4vaGNvPP/+ssrIyRURE1FWZ1VLTsRljlJeXp4KCAvXs2bMuS0UdqMv37c6dOxUXF6eWLVtq1KhR2r9/v2tdfn6+ysrK3I6bmJiohIQEj49bH589J0+e1Ouvv66xY8fKZrO5rXvjjTd0+eWXq1OnTsrMzNTPP/9crf3X9mfMnj17VFRU5LbPsLAwpaSkuPZZW3NrfX1GOhwO2Ww2hYeHu7VnZ2crMjJSV111lZ599lmdOnWqyrXXxxhWrlyp6OhotWvXTnfddZcOHz7sWncxvQbFxcX68MMPNW7cuArrGsJrUNl8VJ/vg4bzv2ZJRUVFio6Odmvz8/NTRESEioqKzrvtjBkz9NBDD+n48eNq166dli9froCAgLost8pqMq6zfvzxR/3tb3/TnXfeWRclVlttjK0h+PHHH3X69OkKf009JibmnN//KioqqrR/Qxt3dcZ2saiNsU2aNElxcXEVgqu3VXdsDodDV1xxhZxOp3x9fTVjxgzdcMMNdV0ualldvW9TUlI0d+5ctWvXTgcPHtTUqVPVo0cPbdu2TSEhISoqKlJAQECF/7RW57OtPj57Fi1apJKSEt1+++1u7bfccouaNWumuLg4ffXVV5o0aZIKCgr07rvverT/uviMOfs8nm/+qK25tT4+I0+cOKFJkyZp5MiRCg0NdbXfe++9uvrqqxUREaHPP/9cmZmZOnjwoJ5//vkq11+XY7jxxhs1bNgwtWjRQrt379Zf//pXDRgwQGvXrpWvr+9F9Rq8+uqrCgkJ0bBhw9zavf0anG8+qs/3Qb2EncmTJ+vpp58+b58dO3bU6BijRo3SDTfcoIMHD+q5557T8OHDtWbNGgUGBtZov+dTH+OSpNLSUg0cOFAdOnTQY489VuP9VUV9jQ3wpuzsbM2fP18rV66s08+K+hQSEqItW7bo2LFjysvL08SJE9WyZUv17t3b26WhARgwYIDr30lJSUpJSVGzZs301ltvVfpb4YZuzpw5GjBggOLi4tzaf/2Lwc6dO6tJkybq27evdu/erVatWtVbfRf7Z8yF6i8rK9Pw4cNljNHMmTPd1k2cONH176SkJAUEBGj8+PHKysqS3W6v89rPOtcYbr75Zte/O3furKSkJLVq1UorV65U3759662+C6nKz9Arr7yiUaNGVVjv7degocxH9RJ2/vKXv1T4rctvtWzZUrGxsTp06JBb+6lTp3TkyBHFxsaed/uwsDCFhYWpTZs26tatmxo3bqyFCxdq5MiRNS3/nOpjXEePHtWNN96okJAQLVy4UP7+/jUtu0rqY2wNyeWXXy5fX98KdxwqLi4+5zhiY2M96u8t1RnbxaImY3vuueeUnZ2tFStWKCkpqS7LrJbqjs3Hx0etW7eWJHXp0kU7duxQVlYWYeciU1/v2/DwcLVt21a7du2SdOZz7eTJkyopKXE7u1Od49b1GPbt26cVK1ZU6WxNSkqKJGnXrl0ehZ26+Iw5u11xcbGaNGnits8uXbq4+tTG3FqXn5Fng86+ffv08ccfu53VqUxKSopOnTqlvXv3ql27dg1iDL/WsmVLXX755dq1a5f69u17UbwGkrR69WoVFBTozTffvGAt9f0anG8+qs/3Qb18ZycqKkqJiYnnXQICApSamqqSkhLl5+e7tv34449VXl7u+qCqCnPmxgtyOp11MRyXuh5XaWmp+vXrp4CAAL3//vv1+luh+n7NvC0gIEDJycnKy8tztZWXlysvL0+pqamVbpOamurWX5KWL19+zv7eUp2xXSyqO7ZnnnlGf/vb37R06VK3a4Ebktp63crLy+v8sxC1r77et8eOHdPu3btd/9lITk6Wv7+/23ELCgq0f/9+j49b12PIzc1VdHS0Bg4ceMG+W7ZskSS3/1RVRV18xrRo0UKxsbFu+ywtLdX69etd+6ytubWuPiPPBp2dO3dqxYoVioyMvGAtW7ZskY+PT4XLkrw1ht/67rvvdPjwYdfPSEN/Dc6aM2eOkpOTdeWVV16wlvp+DX7r1/NRfb4PGtTd2Iw5c4u5q666yqxfv9589tlnpk2bNm63mPvuu+9Mu3btzPr1640xxuzevds89dRTZtOmTWbfvn1mzZo1ZtCgQSYiIuKct8PzBk/H5XA4TEpKiuncubPZtWuX220DG9IttY3xfGzGnLll4ubNm83s2bONJPPpp5+azZs3m8OHD3tjCMaYM7dVtNvtZu7cuWb79u3mzjvvNOHh4aaoqMgYY8x///d/m8mTJ7v6r1mzxvj5+ZnnnnvO7Nixw0yZMqVB33rak7E5nU6zefNms3nzZtOkSRPz4IMPms2bN5udO3d6awjn5OnYsrOzTUBAgHn77bfd3ldHjx711hDOydOxPfXUU+b//u//zO7du8327dvNc889Z/z8/Mzs2bO9NQTUQF28b//yl7+YlStXmj179pg1a9aYtLQ0c/nll5tDhw65+vz5z382CQkJ5uOPPzabNm0yqampJjU1tcGMwZgzd4JKSEgwkyZNqnDMXbt2mccff9xs2rTJ7Nmzx7z33numZcuWpmfPnvUyhqp8xmRnZ5vw8HDz3nvvma+++soMHjy40lvunm9u9Vb9J0+eNDfddJNp2rSp2bJli1sfp9NpjDHm888/N9OmTTNbtmwxu3fvNq+//rqJiooyt912m8f118UYjh49ah588EGzdu1as2fPHrNixQpz9dVXmzZt2pgTJ0649tNQX4OzHA6Hueyyy8zMmTMrHNPbr0FV5qP6eh80uLBz+PBhM3LkSBMcHGxCQ0PNmDFj3F7cPXv2uN1P//vvvzcDBgww0dHRxt/f3zRt2tTccsst5ptvvvHSCCrn6bjO3pK5smXPnj3eGcQ5eDo2Y87c/rSyseXm5tb/AH7lxRdfNAkJCSYgIMB07drVrFu3zrWuV69eZvTo0W7933rrLdO2bVsTEBBgOnbsaD788MN6rrjqPBnb2dfst0uvXr3qv/Aq8GRszZo1q3RsU6ZMqf/Cq8CTsf3v//6vad26tQkMDDSNGzc2qampZv78+V6oGrWltt+3I0aMME2aNDEBAQHmiiuuMCNGjKjwZxp++eUXc/fdd5vGjRubyy67zAwdOtQcPHiwwYzBGGOWLVtmJJmCgoIKx9u/f7/p2bOniYiIMHa73bRu3dr8z//8T7X/zo6nY6jKZ0x5ebl55JFHTExMjLHb7aZv374VxnKhudVb9Z/rNfr1PJ+fn29SUlJMWFiYCQwMNO3btzdPPfWUW5Dw5hh+/vln069fPxMVFWX8/f1Ns2bNzB133OH6j/tZDfU1OGvWrFkmKCjIlJSUVDiet1+DqsxH9fU+sBljTNXPAwEAAADAxaFB/Z0dAAAAAKgthB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlkTYAQAAAGBJhB0AAAAAlvT/AdzAzmPixj27AAAAAElFTkSuQmCC"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1000x500 with 2 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 500x500 with 2 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "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",
@@ -1914,53 +2006,70 @@
     "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",
-    "# Assuming data is your cleaned data and 'NLOS' is your target variable\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\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",
-    "# It's a good practice to scale your data to zero mean and unit variance before training a neural network\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",
-    "# Define the model with adjusted learning rate and regularization strength\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\n",
-    "early_stopping = EarlyStopping(monitor='val_loss', patience=50)\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 a lower learning rate\n",
-    "model.compile(loss='binary_crossentropy', optimizer=Adam(lr=0.0001), metrics=['accuracy'])\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 with reduced epochs\n",
-    "history = model.fit(X_train, y_train, epochs=10, batch_size=32, validation_data=(X_test, y_test), callbacks=[early_stopping])\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\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 and generate classification report\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",
-    "# Plot training and test accuracy\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",
@@ -1968,7 +2077,7 @@
     "plt.legend(['Training Accuracy', 'Test Accuracy'])\n",
     "plt.show()\n",
     "\n",
-    "# Plot training and validation loss\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",
@@ -1978,20 +2087,64 @@
     "plt.legend()\n",
     "plt.show()\n",
     "\n",
-    "# Print the accuracy and the classification report\n",
+    "# Print the testing loss and accuracy\n",
     "print('Test loss:', scores[0])\n",
     "print('Test accuracy:', scores[1])\n",
-    "print('Classification Report: \\n', report)"
+    "# Print the classification report\n",
+    "print('Classification Report: \\n', report)\n",
+    "\n",
+    "# 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()\n",
+    "\n",
+    "# 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",
+    "# 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": "2024-03-16T01:26:35.503285Z",
-     "start_time": "2024-03-16T01:26:05.915305Z"
+     "end_time": "2024-03-17T08:51:52.783429Z",
+     "start_time": "2024-03-17T08:51:19.441673Z"
     }
    },
    "id": "c8745832a585d5ec",
-   "execution_count": 36
+   "execution_count": 35
   }
  ],
  "metadata": {