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. 2020 Aug 26;165:113909. doi: 10.1016/j.eswa.2020.113909

Table 9.

Average ranking of classifiers based on different classification performance metrics using the Friedman test with 7 degrees of freedom. (Note: the minimum value represents the better rank and is highlighted in bold).

Classification algorithms Average ranking of classification algorithms
Phase - I Phase - II
NB 7.929 5.214
DT 7.071 5.714
SVM (RBF Kernel) 5.714 2.429
KNN 4.000 7.571
SVM (Linear Kernel) 3.714 4.071
SVM (Poly Kernel) 3.929 3.357
ANN 2.571 6.643
Majority Voting 1.071 1.000