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Table 5 Performance metrics across the various classifiers tested on dataset 5 for abstracts classified as RNAi

From: Using machine learning algorithms to identify genes essential for cell survival

Classifiers

Time (sec)

TPR

FPR

Precision

Recall

F-Measure

ZeroR

2.45

0.00

0.00

0.00

0.00

0.00

NaiveBayes

28.82

0.83

0.04

0.59

0.83

0.69

KNN

3.22

0.14

0.00

0.90

0.14

0.25

J48

116.14

0.83

0.00

0.93

0.83

0.88

RandomForest

70.66

0.00

0.00

0.00

0.00

0.00

SMO

6.46

0.82

0.01

0.93

0.82

0.87

OneR

12.94

0.42

0.00

0.98

0.42

0.59

  1. [Time in seconds to build the model, True Positive Rate (TPR), False Positive Rate (FPR)]