Performance of SVM-based models for siRNA efficacy prediction developed using composition based features.

Mono: mononucleotide; di: dinucleotide; tri: trinucleotide; tetra: tetranucleotide; R: correlation coefficiet; R2: Coefficient of determination; MAE: Mean absolute error; RMSE: Root mean square of error; g, c, and j are SVM parameters.Mono：单核苷酸（mononucleotide）；di：二核苷酸（dinucleotide）；tri：三核苷酸（trinucleotide）；tetra：四核苷酸（tetranucleotide）；R：相关系数（correlation coefficient）；R²：决定系数（Coefficient of determination）；MAE：平均绝对误差（Mean absolute error）；RMSE：均方根误差（Root mean square error）；g、c及j均为支持向量机（Support Vector Machine，SVM）的参数。