Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values without the ‘±’ signs represent the results for the ‘test’ set.
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https://figshare.com/articles/dataset/Classification_performance_results_using_5-fold_cross-validation_for_the_training_datasets_after_applying_the_data_imbalance_tool_SMOTE_and_NQE_for_data_embedding_The_values_without_the_signs_represent_the_results_for_the_test_set_/29592833
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Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values without the ‘±’ signs represent the results for the ‘test’ set.
创建时间：
2025-07-17
