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AUROC (top of cell) and AUPR (bottom of cell) measures, averaged over 100 train-test splits, of logistic regression (LG) and decision tree (DT) models for predicting whether PWUDs would use a certain drug within the next 12 months using different feature selection methods.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/AUROC_top_of_cell_and_AUPR_bottom_of_cell_measures_averaged_over_100_train-test_splits_of_logistic_regression_LG_and_decision_tree_DT_models_for_predicting_whether_PWUDs_would_use_a_certain_drug_within_the_next_12_months_using_different_fea/27920461
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AUROC (top of cell) and AUPR (bottom of cell) measures, averaged over 100 train-test splits, of logistic regression (LG) and decision tree (DT) models for predicting whether PWUDs would use a certain drug within the next 12 months using different feature selection methods.
创建时间:
2024-11-27
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