Accuracy, cohen’s κ, TPR, and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.
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https://figshare.com/articles/dataset/Accuracy_cohen_s_TPR_and_TNR_values_based_for_the_all_ML_tools_and_using_either_5-fold_cross_validation_or_20_testing_set_for_prediction_people_with_T2DM_from_people_without_T2DM_/16812514
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Accuracy, cohen’s κ, TPR, and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.
本研究基于所有机器学习工具（Machine Learning Tools, ML），分别采用5折交叉验证或20%测试集的评估方案，开展区分2型糖尿病（Type 2 Diabetes Mellitus, T2DM）患者与非患者的预测任务，并据此得出了各模型的准确率（Accuracy）、科恩κ系数（Cohen's κ）、真阳性率（True Positive Rate, TPR）以及真阴性率（True Negative Rate, TNR）的数值结果。
创建时间：
2021-10-14
