SVM with radial basis kernel performance when removing input features.
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资源简介：
Features are removed cumulatively, that is each row represents performance when removing all features indicated in the rows up to and including the current row. Metric values are computed as the mean over 10 iterations of cross-validation. Bold text indicates best performance in each column.
创建时间：
2019-02-22
