Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN).
收藏Figshare2020-07-20 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Performances_of_Na_ve_Bayes_NB_Multilayer_Perceptron_MLP_Random_Forest_RF_Gradient_Boosting_GB_Support_Vector_Machine_SVM_and_K-_Nearest_Neighbors_KNN_/12678252
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These algorithms were evaluated using the balanced sequences from 16 riboswitch families measured by using accuracy, sensitivity, specificity and F-score. The color trend of F-score from blue to red indicates performance from the best to the poorest. Accuracy, sensitivity, specificity, and F-score are represented in the table as Acc, Sen, Spec, and F-sco, respectively.
创建时间：
2020-07-20
