Added Decision Tree Regressor : For small training datasets training it with Random forest regressor takes more computation time without much better results when compared to Decision Tree Regressor.
Added LGBMRegressor : It is capable of performing equally good with large datasets with a significant reduction in training time as it supports parallel learning.
Added Decision Tree Regressor : For small training datasets training it with Random forest regressor takes more computation time without much better results when compared to Decision Tree Regressor. Added LGBMRegressor : It is capable of performing equally good with large datasets with a significant reduction in training time as it supports parallel learning.