Table 4: Recognition accuracies of eight classifiers and their corresponding ranks using 12 different datasets (ranks in the parentheses are used for performing the Friedman test).

DatasetsRecognition accuracy (%)
Classifiers
Naïve BayesBayes NetMLP
SVM
Random ForestBaggingMulticlass ClassifierLogistic

#1
#2
#3
#4
#5
#6
#7
#8
#9
#10
#11
#12
Mean rank