The accuracy, sensitivity and specificity of the support vector machine and the k-nearest neighbor classifiers with <i>k</i> = 5 for five feature sets, for all the 19 features used as one feature set, and for the 11 optimal features shown in Table 1.

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数据链接：

https://figshare.com/articles/dataset/_The_accuracy_sensitivity_and_specificity_of_the_support_vector_machine_and_the_k_nearest_neighbor_classifiers_with_k_5_for_five_feature_sets_for_all_the_19_features_used_as_one_feature_set_and_for_the_11_optimal_features_shown_in_Table_1_/827170 数据链接链接失效反馈

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The accuracy, sensitivity and specificity of the support vector machine and the k-nearest neighbor classifiers with k = 5 for five feature sets, for all the 19 features used as one feature set, and for the 11 optimal features shown in Table 1.

创建时间：

2013-10-17

The accuracy, sensitivity and specificity of the support vector machine and the k-nearest neighbor classifiers with <i>k</i> = 5 for five feature sets, for all the 19 features used as one feature set, and for the 11 optimal features shown in Table 1.

资源简介：

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