Training and testing.py

    # Seperate Feature And Label Values
    y_train = train_data.compliance
    X_train = train_data.drop('compliance',axis=1)
    
    # Test Feature Data
    X_test = test_data
    
    # Scaling Features To Reduce Computation Time
    scaler = MinMaxScaler()
    X_train_scaled = scaler.fit_transform(X_train)  # saved transform
    X_test_scaled = scaler.transform(X_test)   # apply tranform