Mean values and standard errors of HS_HR and MS_HR on ERPOS prediction in the study of MAQC-II breast cancer dataset. In applying each classifier with each measurement, the best prediction value is in bold; the best prediction value of the results using the four learning classifiers is in bold and
收藏NIAID Data Ecosystem2026-03-07 收录
数据链接：
https://figshare.com/articles/dataset/_Mean_values_and_standard_errors_of_HS_HR_and_MS_HR_on_ERPOS_prediction_in_the_study_of_MAQC_II_breast_cancer_dataset_In_applying_each_classifier_with_each_measurement_the_best_prediction_value_is_in_bold_the_best_prediction_value_of_the_results_using_the/542988数据链接链接失效反馈
官方服务：
资源简介：
Mean values and standard errors of HS_HR and MS_HR on ERPOS prediction in the study of MAQC-II breast cancer dataset. In applying each classifier with each measurement, the best prediction value is in bold; the best prediction value of the results using the four learning classifiers is in bold and italic.
创建时间：
2013-02-21
