The Performance of SVM Models with different learning parameters on D1 and D2 dataset.
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Using binary patterns and AA (amino acid) composition [γ (g) (in RBF kernel), c: parameter for trade-off between training error & margin] where SN–sensitivity, SP–specificity, ACC-accuracy, MCC–Matthews Correlation Coefficient.
创建时间：
2015-12-02
