Table 8 Performance evaluation metrics for different learning algorithms for pIC50.

From: Covering assisted intuitionistic fuzzy bi-selection technique for data reduction and its applications

Algorithm

CC

MAE

GP-poly kernel

0.7101

0.7284

GP-PUK

0.8318

0.5539

GP-RBF

0.6452

0.8312

SMO-RBF

0.6863

0.7523

SMO-poly kernel

0.7289

0.6709

SMO-PUK

0.8599

0.3632

Decision table

0.7839

0.4977

Linear regression

0.7368

0.6837

IBK

0.7943

0.4116

RF

0.8577

0.4208

Vote (SMO-PUK+RF)

0.8652

0.3835

81

0.797

NA

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