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Table 2 Performance of different feature selection methods with Random Forest algorithms using 10-fold cross validation

From: mSRFR: a machine learning model using microalgal signature features for ncRNA classification

Feature selection methods

Performance measurement

ACC (%)

Sn (%)

Sp (%)

FPR

ROC area

Infogain

98.7

98.7

98.7

0.013

0.999

OneR

98.9

98.9

98.9

0.011

0.999

Relief

98.9

99.0

99.0

0.01

0.999

t-test

98.3

97.7

98.9

0.011

0.999

Wilcoxon

98.6

98.4

98.9

0.011

0.999