Model performance results based on random forest, gradient boosting, penalized logistic regression, XGBoost, SVM, neural network, and stacking for 2/3 combined data as training set and 1/3 combined data as testing set after multiple imputation for 10 times.
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下载链接：
https://figshare.com/articles/dataset/Model_performance_results_based_on_random_forest_gradient_boosting_penalized_logistic_regression_XGBoost_SVM_neural_network_and_stacking_for_2_3_combined_data_as_training_set_and_1_3_combined_data_as_testing_set_after_multiple_imputation_fo/25501671
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资源简介：
Model performance results based on random forest, gradient boosting, penalized logistic regression, XGBoost, SVM, neural network, and stacking for 2/3 combined data as training set and 1/3 combined data as testing set after multiple imputation for 10 times.
创建时间：
2024-03-28
