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Table 18 From [30], “Precision , recall and F-measure of CatBoost, Decision Tree classifier and KNN for 9 and 71 features”

From: CatBoost for big data: an interdisciplinary review

 

Features

CatBoost (%)

DT (%)

KNN (%)

Precision

71

98.11

97.23

94.18

9

97.40

96.8

96.58

Recall

71

99.27

97.80

45.10

9

98.68

98.24

99.12

F-Measure

71

98.69

97.51

61.00

9

98.04

97.53

97.83