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Table 3 Overall accuracy achieved on main dataset, developed using different WEKA methods. Single label was predicted for each substrate and performance evaluated using five-fold cross-validation techniques

From: Prediction of cytochrome P450 isoform responsible for metabolizing a drug molecule

Methods Overall accuracy (percent)
Random Forest 69.47
SMOreg 69.03
Rotation Forest 68.58
Simple logistic 66.37
BayesNet 65.04
REPTree 64.60
RBF network 64.16
Multilayer perceptron 62.39
IB1 (tree) 58.41
NaïveBayes 57.96
KStar (tree) 56.20
Logistic equation 51.77