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Table 2 The highest recognition accuracies on gene expression databases when selecting features within the top 100 ranked features obtained by three different classifiers

From: Ranked selection of nearest discriminating features

   Nearest neighbor SVM Naive Bayes
Database Total number of features Accuracy (%) Selected number of features Accuracy (%) Selected number of features Accuracy (%) Selected number of features
GLI-85 22283 88.3±2.9 3 86.5±5.2 2 89.1±2.9 3
GLA-BRA-180 4915 65.3±4.6 45 66.7±4.8 6 68.4±5.1 37
CLL-SUB-111 11340 74.9±2.6 1 65.6±5.5 78 66.5±8.3 50
TOX-171 5748 69.6±4.4 89 78.5±5.5 71 61.5±5.1 68
SMK-CAN-187 19993 71.2±1.7 1 73.2±3.2 48 70.8±4.0 52