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Table 6 Performance metrics values and corresponding confusion tables for four different classifiers

From: Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications

 Training setTest set
Acc (%)F1 (%)Acc (%)Pr (%)r (%)F1 (%)MCC (%)Actual classPredicted class
LCNLC
RF99.399.588.591.793.592.567.3LC67347
NLC61166
ExtraTrees99.399.587.591.292.591.965.2LC66654
NLC64163
AdaBoost99.399.588.191.293.492.365.1LC67347
NLC65162
GBM95.396.887.491.092.691.864.3LC66753
NLC66161