Driver Identification Using Deep Learning
Driver Identification Using Deep Learning import pandas as pd # pip install pandas %matplotlib inline import matplotlib.pyplot as plt # pip install matplotlib #import seaborn as sns; sns.set() # for plot styling import numpy as np data=pd.read_csv(‘full_data_test.csv’) columns2=["Long_Term_Fuel_Trim_Bank1","Intake_air_pressure","Accelerator_Pedal_value","Fuel_consumption","Torque_of_friction","Maximum_indicated_engine_torque","Engine_torque","Calculated_LOAD_value", "Activation_of_Air_compressor","Engine_coolant_temperature","Transmission_oil_temperature","Wheel_velocity_front_left-hand","Wheel_velocity_front_right-hand","Wheel_velocity_rear_left-hand", "Torque_converter_speed"] #The anomalie detector using the One-Class Support Vector Machine from sklearn import svm ano_det = …