{ "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": "2024-03-17T08:20:30.194170Z", "start_time": "2024-03-17T08:20:30.186539Z" } }, "id": "2aa3c6c09e8645d1", "execution_count": 21 }, { "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": "2024-03-17T08:20:32.881678Z", "start_time": "2024-03-17T08:20:32.877648Z" } }, "id": "7bcd7cfc8dd11cbb", "execution_count": 22 }, { "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": "2024-03-17T08:20:34.500816Z", "start_time": "2024-03-17T08:20:34.495803Z" } }, "id": "9e0b1ed6f23a17cf", "execution_count": 23 }, { "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.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.show()\n", " " ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-03-17T08:20:36.961406Z", "start_time": "2024-03-17T08:20:36.954873Z" } }, "id": "308d64639b199bc7", "execution_count": 24 }, { "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 }, "id": "4afc8d71b3271351", "execution_count": 29 }, { "cell_type": "markdown", "source": [ "# Scatter Plot of RX_Level and First_Path_Power_Level" ], "metadata": { "collapsed": false }, "id": "e26e1cb8e6257696" }, { "cell_type": "code", "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "\n", "def plot_features(data):\n", " X = data[['RX_Level', 'First_Path_Power_Level']].to_numpy()\n", " Y = data['NLOS'].to_numpy()\n", " Y = Y.reshape(-1)\n", " reds = Y == 1\n", " black = Y == 0\n", " plt.scatter(X[reds, 0], X[reds, 1], c=\"red\", s=20, edgecolor='k')\n", " plt.scatter(X[black, 0], X[black, 1], c=\"yellow\", s=20, edgecolor='k')\n", " plt.xlabel(\"RX_Level\")\n", " plt.ylabel(\"First_Path_Power_Level\")\n", " plt.title(\"Plot of data: RX_Level versus First_Path_Power_Level\")\n", " plt.show()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-03-17T08:27:17.566100Z", "start_time": "2024-03-17T08:27:17.559920Z" } }, "id": "ac4db13fed3f9916", "execution_count": 30 }, { "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": "2024-03-17T08:20:43.133074Z", "start_time": "2024-03-17T08:20:43.128909Z" } }, "id": "fe3089568e99a58d", "execution_count": 26 }, { "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": "2024-03-17T08:20:45.958351Z", "start_time": "2024-03-17T08:20:45.954212Z" } }, "id": "670e8c2cf19126ea", "execution_count": 27 }, { "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", " # 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", " # Extract the 'CIR' columns\n", " # cir_columns = [f\"CIR{i}\" for i in range(1015)]\n", " # # cir_columns = [f\"CIR{i}\" for i in range(1016)]\n", " # cir_data = data[cir_columns]\n", " # print(\"'CIR' columns extracted.\")\n", " # \n", " # # Perform PCA on the 'CIR' columns\n", " # pca = PCA(n_components=0.95)\n", " # cir_pca = pca.fit_transform(cir_data)\n", " # print(\"PCA performed on 'CIR' columns.\")\n", " # \n", " # # Create a DataFrame with the principal components\n", " # cir_pca_df = pd.DataFrame(cir_pca, columns=[f\"PC{i}\" for i in range(1, pca.n_components_ + 1)])\n", " # print(\"DataFrame with principal components created.\")\n", " # \n", " # # Drop the original 'CIR' columns from the data\n", " # data = data.drop(columns=cir_columns)\n", " # print(\"Original 'CIR' columns dropped.\")\n", "\n", " # Add the principal components to the original data\n", " # Reset the index of both dataframes\n", " # data = data.reset_index(drop=True)\n", " # cir_pca_df = cir_pca_df.reset_index(drop=True)\n", " # print(\"Indexes of both dataframes reset.\")\n", "\n", " # Concatenate the dataframes\n", " # data = pd.concat([data, cir_pca_df], axis=1)\n", " # print(\"Dataframes concatenated.\")\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", " # Standardize the numerical columns (excluding 'NLOS')\n", " # numerical_cols = data.select_dtypes(include=[np.number]).columns\n", " # numerical_cols = numerical_cols.drop('NLOS')\n", " # scaler = StandardScaler()\n", " # data[numerical_cols] = scaler.fit_transform(data[numerical_cols])\n", " # print(\"Numerical columns standardized.\")\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": "2024-03-17T08:20:47.362346Z", "start_time": "2024-03-17T08:20:47.349502Z" } }, "id": "685463c2d6065b08", "execution_count": 28 }, { "cell_type": "code", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Pickle file not found. Loading and cleaning data...\n", "Original data shape: (42000, 1031)\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", "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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" }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": "
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}, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Data loaded and cleaned successfully.\n", "Saving cleaned data to pickle file...\n", "Cleaned data saved to pickle file 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 8.362214e-08 \n", "1 0 0.66 749.0 1133.0 0 0 9.091998e-01 \n", "2 1 7.86 746.0 894.0 0 0 1.000000e+00 \n", "3 1 3.48 750.0 1127.0 2 0 1.000000e+00 \n", "4 0 1.19 746.0 1744.0 0 0 1.000000e+00 \n", "\n", " CIR1 CIR2 CIR3 ... CIR1009 CIR1010 \\\n", "0 2.674740e-07 0.000002 0.000003 ... 5.155971e-09 1.199803e-08 \n", "1 7.974981e-02 1.000000 1.000000 ... 6.605308e-04 1.000000e+00 \n", "2 1.000000e+00 1.000000 1.000000 ... 1.000000e+00 1.000000e+00 \n", "3 1.000000e+00 1.000000 1.000000 ... 1.000000e+00 1.000000e+00 \n", "4 1.000000e+00 1.000000 1.000000 ... 3.663934e-01 1.000000e+00 \n", "\n", " CIR1011 CIR1012 CIR1013 CIR1014 CIR1015 \\\n", "0 1.032906e-07 1.706671e-07 0.000070 3.184346e-10 0.000000e+00 \n", "1 1.000000e+00 2.527824e-01 0.113831 2.491042e-02 2.350403e-25 \n", "2 1.000000e+00 1.000000e+00 1.000000 1.000000e+00 1.590984e-10 \n", "3 1.000000e+00 1.000000e+00 0.082226 1.000000e+00 6.469684e-02 \n", "4 1.000000e+00 1.000000e+00 0.071744 1.000000e+00 6.469684e-02 \n", "\n", " RX_Level First_Path_Power_Level SNR \n", "0 -27.806709 -32.018158 185.234375 \n", "1 -23.050836 -34.255986 296.375000 \n", "2 -28.334789 -43.509715 244.983333 \n", "3 -33.611812 -41.706556 115.105263 \n", "4 -21.081660 -23.834943 167.352941 \n", "\n", "[5 rows x 1025 columns]\n", "Column headers:\n", "Index(['NLOS', 'RANGE', 'FP_IDX', 'MAX_NOISE', 'FRAME_LEN', 'PREAM_LEN',\n", " 'CIR0', 'CIR1', 'CIR2', 'CIR3',\n", " ...\n", " 'CIR1009', 'CIR1010', 'CIR1011', 'CIR1012', 'CIR1013', 'CIR1014',\n", " 'CIR1015', 'RX_Level', 'First_Path_Power_Level', 'SNR'],\n", " dtype='object', length=1025)\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...\")y\n", " with open(File, 'rb') as f:\n", " data = pickle.load(f)\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)\n", " snr_graph(data)\n", " cir_graphs(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": "2024-03-17T08:29:02.437389Z", "start_time": "2024-03-17T08:28:45.504070Z" } }, "id": "79c2c23691b26753", "execution_count": 33 }, { "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": "2024-03-16T01:18:07.542470Z", "start_time": "2024-03-16T01:18:07.538314Z" } }, "id": "12e16974341e6266", "execution_count": 10 }, { "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": "2024-03-16T01:18:07.989634Z", "start_time": "2024-03-16T01:18:07.543581Z" } }, "id": "54d2a6506b584a03", "execution_count": 11 }, { "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": "2024-03-16T01:18:07.994962Z", "start_time": "2024-03-16T01:18:07.991897Z" } }, "id": "dc485f3de9f8936f", "execution_count": 12 }, { "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": "2024-03-16T01:18:08.000476Z", "start_time": "2024-03-16T01:18:07.996116Z" } }, "id": "702b4f40dda16736", "execution_count": 13 }, { "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": "2024-03-16T01:18:08.004213Z", "start_time": "2024-03-16T01:18:08.001700Z" } }, "id": "1f6f826d6234591c", "execution_count": 14 }, { "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": "2024-03-16T01:18:08.007739Z", "start_time": "2024-03-16T01:18:08.005377Z" } }, "id": "c970b0c1593d955c", "execution_count": 15 }, { "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": "2024-03-16T01:18:08.011498Z", "start_time": "2024-03-16T01:18:08.008887Z" } }, "id": "ee7506f4aa805faf", "execution_count": 16 }, { "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": "2024-03-16T01:18:08.014916Z", "start_time": "2024-03-16T01:18:08.012692Z" } }, "id": "a44d38efa4b86d93", "execution_count": 17 }, { "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": "2024-03-16T01:18:08.018449Z", "start_time": "2024-03-16T01:18:08.015916Z" } }, "id": "a3646a4965b0707c", "execution_count": 18 }, { "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": "2024-03-16T01:18:08.022184Z", "start_time": "2024-03-16T01:18:08.019483Z" } }, "id": "c7ecae5d021ad44f", "execution_count": 19 }, { "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": "2024-03-16T01:18:08.026096Z", "start_time": "2024-03-16T01:18:08.023399Z" } }, "id": "4a8a1c3a7289ef7a", "execution_count": 20 }, { "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": "2024-03-16T01:18:08.029507Z", "start_time": "2024-03-16T01:18:08.027203Z" } }, "id": "705c62e64bf6d614", "execution_count": 21 }, { "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": "2024-03-16T01:18:08.033027Z", "start_time": "2024-03-16T01:18:08.030510Z" } }, "id": "cf4df4ef7bbfd74", "execution_count": 22 }, { "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": "2024-03-16T01:18:08.036782Z", "start_time": "2024-03-16T01:18:08.034098Z" } }, "id": "faabcf63e34005a9", "execution_count": 23 }, { "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": "2024-03-16T01:18:08.041371Z", "start_time": "2024-03-16T01:18:08.038292Z" } }, "id": "2ed22b3fc59f74e6", "execution_count": 24 }, { "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": "2024-03-16T01:18:08.044979Z", "start_time": "2024-03-16T01:18:08.042378Z" } }, "id": "4ac86c268055c1b8", "execution_count": 25 }, { "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": "2024-03-16T01:18:08.048396Z", "start_time": "2024-03-16T01:18:08.045887Z" } }, "id": "3d984228fb1d3026", "execution_count": 26 }, { "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": "2024-03-16T01:18:08.051612Z", "start_time": "2024-03-16T01:18:08.049286Z" } }, "id": "98cd350871bc3201", "execution_count": 27 }, { "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": "2024-03-16T01:18:08.056363Z", "start_time": "2024-03-16T01:18:08.054410Z" } }, "id": "305a796294814705", "execution_count": 28 }, { "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": "2024-03-16T01:18:08.059504Z", "start_time": "2024-03-16T01:18:08.057289Z" } }, "id": "494bb537046bf5a7", "execution_count": 29 }, { "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": "2024-03-16T01:18:08.062941Z", "start_time": "2024-03-16T01:18:08.060415Z" } }, "id": "62401c8d1a4d61cc", "execution_count": 30 }, { "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": "2024-03-16T01:18:08.067580Z", "start_time": "2024-03-16T01:18:08.064136Z" } }, "id": "f0f5284581e70e6e", "execution_count": 31 }, { "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": "2024-03-16T01:18:08.071039Z", "start_time": "2024-03-16T01:18:08.068486Z" } }, "id": "82c7ba8cbb2aa17a", "execution_count": 32 }, { "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": "stderr", "output_type": "stream", "text": [ "2024-03-16 09:18:09.557689: 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", "2024-03-16 09:18:09.558198: 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 1/10\n", "1050/1050 [==============================] - 47s 44ms/step - loss: 0.6739 - accuracy: 0.5696 - val_loss: 0.5170 - val_accuracy: 0.7961\n", "Epoch 2/10\n", "1050/1050 [==============================] - 47s 45ms/step - loss: 0.5033 - accuracy: 0.7718 - val_loss: 0.4171 - val_accuracy: 0.8235\n", "Epoch 3/10\n", "1050/1050 [==============================] - 45s 43ms/step - loss: 0.4589 - accuracy: 0.8086 - val_loss: 0.3961 - val_accuracy: 0.8324\n", "Epoch 4/10\n", "1050/1050 [==============================] - 46s 43ms/step - loss: 0.4293 - accuracy: 0.8228 - val_loss: 0.3757 - val_accuracy: 0.8448\n", "Epoch 5/10\n", "1050/1050 [==============================] - 69s 66ms/step - loss: 0.4133 - accuracy: 0.8325 - val_loss: 0.3849 - val_accuracy: 0.8427\n", "Epoch 6/10\n", "1050/1050 [==============================] - 44s 42ms/step - loss: 0.4015 - accuracy: 0.8361 - val_loss: 0.3687 - val_accuracy: 0.8464\n", "Epoch 7/10\n", "1050/1050 [==============================] - 44s 42ms/step - loss: 0.3977 - accuracy: 0.8363 - val_loss: 0.3705 - val_accuracy: 0.8464\n", "Epoch 8/10\n", "1050/1050 [==============================] - 44s 42ms/step - loss: 0.3934 - accuracy: 0.8379 - val_loss: 0.3665 - val_accuracy: 0.8476\n", "Epoch 9/10\n", "1050/1050 [==============================] - 44s 42ms/step - loss: 0.3869 - accuracy: 0.8400 - val_loss: 0.3714 - val_accuracy: 0.8449\n", "Epoch 10/10\n", "1050/1050 [==============================] - 43s 41ms/step - loss: 0.3868 - accuracy: 0.8416 - val_loss: 0.3641 - val_accuracy: 0.8477\n" ] }, { "data": { "text/plain": "
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" 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" }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test accuracy: 0.8477380871772766\n" ] } ], "source": [ "from tensorflow.keras.models import Sequential\n", "from tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Dropout\n", "from tensorflow.keras.callbacks import EarlyStopping\n", "import matplotlib.pyplot as plt\n", "import tensorflow as tf\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", "X = data.drop('NLOS', axis=1)\n", "y = data['NLOS']\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", "\n", "scaler = StandardScaler()\n", "X_train = scaler.fit_transform(X_train)\n", "X_test = scaler.transform(X_test)\n", "\n", "# Define the CNN model\n", "model = Sequential()\n", "\n", "# Add a 1D convolutional layer\n", "model.add(Conv1D(filters=64, kernel_size=3, activation='relu', input_shape=(X_train.shape[1], 1)))\n", "model.add(Dropout(0.5)) # Add dropout layer\n", "\n", "# Add a max pooling layer\n", "model.add(MaxPooling1D(pool_size=2))\n", "\n", "# Add another 1D convolutional layer\n", "model.add(Conv1D(filters=128, kernel_size=3, activation='relu'))\n", "model.add(Dropout(0.5)) # Add dropout layer\n", "\n", "# Add another max pooling layer\n", "model.add(MaxPooling1D(pool_size=2))\n", "\n", "# Flatten the tensor output from the previous layer\n", "model.add(Flatten())\n", "\n", "# Add a dense layer\n", "model.add(Dense(128, activation='relu'))\n", "model.add(Dropout(0.5)) # Add dropout layer\n", "\n", "# Add the output layer with sigmoid activation\n", "model.add(Dense(1, activation='sigmoid')) # Change number of classes to 1 and activation to 'sigmoid'\n", "\n", "# Compile the model with binary_crossentropy loss function\n", "model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n", "\n", "# Define early stopping\n", "early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n", "\n", "# Train the model and store the history\n", "history = model.fit(X_train, y_train, epochs=10, batch_size=32, validation_data=(X_test, y_test), callbacks=[early_stopping])\n", "\n", "# Plot the training and test accuracy\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\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", "# Evaluate the model on the test data\n", "test_loss, test_acc = model.evaluate(X_test, y_test, verbose=0)\n", "print('Test accuracy:', test_acc)" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-03-16T01:26:05.657812Z", "start_time": "2024-03-16T01:18:08.072134Z" } }, "id": "3fe2ed86c3527d2", "execution_count": 33 }, { "cell_type": "code", "outputs": [ { "data": { "image/png": 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", "text/plain": "" }, "execution_count": 34, "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": "2024-03-16T01:26:05.768321Z", "start_time": "2024-03-16T01:26:05.658984Z" } }, "id": "81f2d793ada5c410", "execution_count": 34 }, { "cell_type": "code", "outputs": [], "source": [ "# Save the model\n", "model.save('CNN.keras')" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-03-16T01:26:05.914035Z", "start_time": "2024-03-16T01:26:05.769692Z" } }, "id": "6b7329b28452b82a", "execution_count": 35 }, { "cell_type": "markdown", "source": [ "# Multi-layer Perceptron (MLP)" ], "metadata": { "collapsed": false }, "id": "42eff9445377f73c" }, { "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" ] }, { "data": { "text/plain": "
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" 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" }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test loss: 0.4626171588897705\n", "Test accuracy: 0.838690459728241\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", "\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" ] } ], "source": [ "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", "\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", "X = data.drop('NLOS', axis=1)\n", "y = data['NLOS']\n", "\n", "# Split the data into training and testing sets\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", "scaler = StandardScaler()\n", "X_train = scaler.fit_transform(X_train)\n", "X_test = scaler.transform(X_test)\n", "\n", "# Define the model with adjusted learning rate and regularization strength\n", "model = Sequential()\n", "model.add(Dense(64, input_dim=X_train.shape[1], activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", "model.add(BatchNormalization())\n", "model.add(Dropout(0.5))\n", "model.add(Dense(32, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", "model.add(BatchNormalization())\n", "model.add(Dropout(0.5))\n", "model.add(Dense(16, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n", "model.add(BatchNormalization())\n", "model.add(Dropout(0.5))\n", "model.add(Dense(1, activation='sigmoid'))\n", "\n", "# Define early stopping\n", "early_stopping = EarlyStopping(monitor='val_loss', patience=50)\n", "\n", "# Compile the model with a lower learning rate\n", "model.compile(loss='binary_crossentropy', optimizer=Adam(lr=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", "\n", "# Evaluate the model\n", "scores = model.evaluate(X_test, y_test, verbose=0)\n", "\n", "# Make predictions and generate classification report\n", "y_pred = model.predict(X_test)\n", "y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n", "report = classification_report(y_test, y_pred_classes)\n", "\n", "# Plot training and test accuracy\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 training and validation loss\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 accuracy and the classification report\n", "print('Test loss:', scores[0])\n", "print('Test accuracy:', scores[1])\n", "print('Classification Report: \\n', report)" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-03-16T01:26:35.503285Z", "start_time": "2024-03-16T01:26:05.915305Z" } }, "id": "c8745832a585d5ec", "execution_count": 36 } ], "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 }