sklearn decision tree parameters

Keyword Analysis

Keyword	CPC	PCC	Volume	Score	Length of keyword
sklearn decision tree parameters	1.71	0.2	7884	60	32
sklearn	1.29	0.5	7293	14	7
decision	0.03	0.5	4335	78	8
tree	1.07	0.6	75	53	4
parameters	0.82	1	9774	71	10

Keyword	CPC	PCC	Volume	Score
sklearn decision tree parameters	1.99	0.1	4392	68
decision tree classifier sklearn parameters	0.44	0.9	1995	55
decision tree using sklearn	0.56	0.5	8199	58
sklearn decision tree documentation	0.12	0.6	6337	1
sklearn decision tree example	1.88	0.4	6461	43
implementation of decision tree using sklearn	1.17	0.3	5565	78
sklearn decision tree criterion	1.36	0.3	479	35
sklearn decision tree string features	0.83	0.5	3955	56
sklearn decision tree feature importance	0.67	0.6	1552	97
decision tree sklearn code	1.5	0.7	8455	31
sklearn decision tree algorithm	0.66	0.2	4010	4
print decision tree sklearn	0.89	0.3	4107	47
sklearn decision tree model	1.29	0.5	7493	71
decision tree sklearn hyperparameters	0.3	0.5	8876	8
sklearn decision tree categorical feature	1.51	0.2	1506	78
sklearn decision tree class_weight	1.61	0.4	1606	10