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. 2016 Oct 1;10(5):168–178. doi: 10.1049/iet-syb.2015.0082

Table 5.

Harvard microarray datasets performance comparison between GEP, SVM, MLP and RBF

Training dataset Testing dataset
Sub dataset Classifier Accuracy TP TN FP FN Sensitivity Specificity AUC ROC Sub dataset Classifier Accuracy TP TN FP FN Sensitivity Specificity AUC ROC
5 Attributes GEP 100 17.13 82.87 0 0 100 100 1 5 Attributes GEP 99.45 16.57 82.87 0 0.55 96.77 100 1
SVM 98.90 16.02 82.87 0 1.10 93.55 100 1 SVM 98.90 16.02 82.87 0 1.10 93.55 100 1
MLP 100 17.13 82.87 0 0 100 100 1 MLP 99.45 16.57 82.87 0 0.55 96.77 100 1
RBF 100 17.13 82.87 0 0 100 100 1 RBF 98.34 16.02 82.32 0.55 1.10 93.55 99.33 0.998
10 Attributes GEP 99.17 15.70 83.47 0 0.83 95 100 0.9 10 Attributes GEP 91.67 13.33 78.33 0 8.33 61.54 100 0.9
SVM 99.45 16.57 82.87 0 0.55 96.77 100 0.999 SVM 99.45 16.57 82.87 0 0.55 96.77 100 0.998
MLP 100 17.13 82.87 0 0 100 100 1 MLP 99.45 16.57 82.87 0 0.55 96.77 100 0.998
RBF 99.45 16.57 82.87 0 0.55 96.77 100 1 RBF 97.24 14.92 82.32 0.55 2.21 87.10 99.33 0.998
20 Attributes GEP 99.17 14.05 85.12 0 0.83 94.44 100 0.9 20 Attributes GEP 91.67 13.33 78.33 0 8.33 61.54 100 0.9
SVM 99.45 16.57 82.87 0 0.55 96.77 100 0.999 SVM 99.45 16.57 82.87 0 0.55 96.77 100 0.998
MLP 98.34 15.47 82.87 0 1.66 90.32 100 0.999 MLP 98.34 15.47 82.87 0 1.66 90.32 100 0.991
RBF 98.90 16.02 82.87 0 1.10 93.55 100 0.979 RBF 97.24 14.92 82.32 0.55 2.21 87.10 99.33 0.920
AS GEP 99.31 11.72 87.59 0 0.69 94.44 100 0.9 AS GEP 91.67 27.78 63.89 0 8.33 76.92 100 0.9
SVM 100 12.41 87.59 0 0 100 100 1 SVM 94.4 30.56 63.89 5.56 0 100 92 0.9
MLP 97.9 10.34 87.59 2.07 0 100 97.69 0.9 MLP 94.4 30.56 63.89 5.56 0 100 92 0.9
RBF 98.25 10.69 87.59 1.72 0 100 98 0.9 RBF 94.4 30.56 63.89 5.56 0 100 92 0.9
All Dataset GEP 100 49.66 50.34 0 0 100 100 1 All Dataset GEP 83.33 33.33 50 0 16.67 66.67 100 0.7
SVM 99.45 16.57 82.87 0 0.55 96.77 100 0.998 SVM 95.03 14.36 80.66 2.21 2.76 83.87 97.33 0.980
MLP 99.45 16.57 82.87 0 0.55 96.77 100 1 MLP 93.92 14.36 79.56 3.31 2.76 83.87 96 0.960
RBF 100 17.13 82.87 0 0 100 100 1 RBF 94.48 13.81 80.66 2.21 3.31 80.65 97.33 0.981