max_features in decision tree

Keyword Analysis

Keyword	CPC	PCC	Volume	Score	Length of keyword
max_features in decision tree	0.01	0.3	2824	6	29
max_features	0.59	0.9	3050	38	12
in	1.7	0.2	2530	43	2
decision	0.91	0.1	4994	51	8
tree	0.94	0.3	8056	85	4

Keyword	CPC	PCC	Volume	Score
max_features in decision tree	1.4	0.9	4637	100
decision tree max features	0.94	0.3	9165	37
max_leaf_nodes in decision tree	1	0.8	8690	74
max_depth in decision tree	1.38	0.5	3773	100
decisiontreeclassifier max_features	1.14	0.8	8280	45
decision tree feature selection	0.16	0.1	8157	52
max_depth parameter in decision tree	0.71	1	214	66
feature selection using decision tree	1.64	0.9	9389	33
how to choose max depth decision tree	0.5	0.3	5464	40
feature importance in decision tree	1.31	0.1	8161	6
decision tree max depth	1.34	0.4	8839	62
decision tree max depth meaning	1.77	0.4	7900	87
decisiontreeclassifier max_leaf_nodes	0.24	0.1	109	96
decisiontreeclassifier max_depth	1.7	1	7888	52
decisiontreeclassifier max_depth 5	1.83	0.1	3920	51
decisiontreeclassifier max_depth 1	1.97	0.2	7640	72