Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using polynomial, normalized polynomial and puk kernels using complexity parameters 0.1, 10 and 30 using 10-fold cross validation using SMOTE.
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下载链接：
https://figshare.com/articles/dataset/Comparison_of_the_performance_of_Support_Vector_Machine_SVM_classifier_with_sampling_using_polynomial_normalized_polynomial_and_puk_kernels_using_complexity_parameters_0_1_10_and_30_using_10-fold_cross_validation_using_SMOTE_/6155978
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资源简介：
Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using polynomial, normalized polynomial and puk kernels using complexity parameters 0.1, 10 and 30 using 10-fold cross validation using SMOTE.
创建时间：
2018-04-19
