predict_caLamviec_nhansu/models/feature_selection_results.csv

1	num_features	feature_set	model	val_mae	val_r2
2	49	All Features	Gradient Boosting	3.634581261520732	-0.012930925436683394
3	20	Top 20	Random Forest	3.666060757466078	0.03739430732677618
4	20	Top 20	Gradient Boosting	3.7771892175715056	-0.06012882358872096
5	20	Top 20	XGBoost	3.641647574774335	0.015787720680236816
6	20	Top 20	LightGBM	3.748396263264872	0.049515999401856026
7	25	Top 25	Random Forest	3.614868221684315	0.06809266983693418
8	25	Top 25	Gradient Boosting	3.780284523284983	-0.05195262322328653
9	25	Top 25	XGBoost	3.760102046004842	-0.01795041561126709
10	25	Top 25	LightGBM	3.7433780829414327	0.04227330886423497
11	30	Top 30	Random Forest	3.6134273351492454	0.0712211389609152
12	30	Top 30	Gradient Boosting	3.8167183021556417	-0.08445111108289871
13	30	Top 30	XGBoost	3.8263845290528256	-0.036774635314941406
14	30	Top 30	LightGBM	3.6913964071303145	0.0628657702857146
15	35	Top 35	Random Forest	3.6403561822073054	0.07301240475906845
16	35	Top 35	Gradient Boosting	3.91511098479336	-0.11251667765570872
17	35	Top 35	XGBoost	3.884480058477166	-0.052086710929870605
18	35	Top 35	LightGBM	3.8490180856510774	0.0009015985532334625
19	40	Top 40	Random Forest	3.6265115302924293	0.07854970083459945
20	40	Top 40	Gradient Boosting	3.8841932753369783	-0.08916849029447449
21	40	Top 40	XGBoost	3.9312105964911117	-0.07247793674468994
22	40	Top 40	LightGBM	3.747326913269243	0.029446228984498002