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. 2017 May 18;8(29):47816–47830. doi: 10.18632/oncotarget.18001

Figure 2. The classification accuracy of 25 WEKA classifiers in LGG and HGG classification, using each attribute selection strategy.

Figure 2

(A)–(G) Using ‘CorrelationAttributeEval’, ‘GainRatioAttributeEval’, ‘InfoGainAttributeEval’, ‘OneRAttributeEval’, ‘ReliefFAttributeEval’, ‘SymmetricalUncertAttributeEval’ and ‘SVMAttributeEval’ with ‘Ranker’ search method, respectively. (H) Using ‘CfsSubsetEval’ with ‘BestFirst’ search method. Under each attribute selection strategy, the highest accuracy among all the 25 WEK. In each figure, blue bars mean the highest classification accuracy across classifiers using the corresponding attribute selection method. The overall best result was achieved when using ‘SVMAttributeEval’ attribute slection method with LibSVM/SGD/SMO classifiers as shown in (G).