parameters: # {'subsample_freq': 20, 'subsample': 0.7, 'reg_lambda': 1.3, 'reg_alpha': 1.2, 'num_leaves': 200, 'n_estimators': 400, 'min_split_gain': 0.3, 'max_depth': 20, 'colsample_bytree': 0.7}
The Train set size (833896, 24) The Test set size (357385, 24)
The Accuracy of the model is : 0.6351665570743036 (63.5%) Run times on random search CV and grid search are long even with GPU. Model has much runway to grow in accuracy with longer runtimes.
