Journal of Big Data

Table 8 Classification accuracy of different classifiers with bank marketing dataset

From: Selecting critical features for data classification based on machine learning methods

Method	Accuracy	Features
SVM	0.902	16
Boruta + SVM	0.9024	7
RFE + SVM	0.9024	7
RF + SVM	0.89	7
LDA	0.8993	16
Boruta + LDA	0.9002	7
RFE + LDA	0.9002	7
RF + LDA	0.9	7
KNN	0.8877	16
Boruta + KNN	0.8874	7
RFE + KNN	0.8875	7
RF + KNN	0.886	7
RF	0.9088	16
Boruta + RF	0.9061	7
RFE + RF	0.9079	7
RF + RF	0.9099	7

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