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Table 8 Performance metrics values and corresponding confusion tables for three different blending methods

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
Uniform blending99.599.788.391.393.692.567.3LC67446
NLC64163
Linear blending99.599.788.491.693.592.567.8LC67347
NLC62165
Any blending99.399.588.891.793.892.768.6LC67545
NLC61166