Using 10-Fold Cross-Validation on N = 2621 (excluding missing values), the performance of many machine learning models was evaluated by Accuracy, Precision, Recall, F1 Score, R2 Score, and MSE.

Figshare2026-01-07 更新2026-04-28 收录

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https://figshare.com/articles/dataset/_p_Using_10-Fold_Cross-Validation_on_N_2621_excluding_missing_values_the_performance_of_many_machine_learning_models_was_evaluated_by_Accuracy_Precision_Recall_F1_Score_R2_Score_and_MSE_p_/31019457 数据链接链接失效反馈

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Using 10-Fold Cross-Validation on N = 2621 (excluding missing values), the performance of many machine learning models was evaluated by Accuracy, Precision, Recall, F1 Score, R2 Score, and MSE.

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2026-01-07

Using 10-Fold Cross-Validation on N = 2621 (excluding missing values), the performance of many machine learning models was evaluated by Accuracy, Precision, Recall, F1 Score, R2 Score, and MSE.

资源简介：

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