Performance of Support Vector Machine, Random Forest, Multilayer perception, and XGBoost classifiers on the gold standard datasets using different feature group combinations and random undersampling technique.

NIAID Data Ecosystem2026-05-01 收录

数据链接：

https://figshare.com/articles/dataset/Performance_of_Support_Vector_Machine_Random_Forest_Multilayer_perception_and_XGBoost_classifiers_on_the_gold_standard_datasets_using_different_feature_group_combinations_and_random_undersampling_technique_/23840736 数据链接链接失效反馈

官方服务：

资源简介：

Performance of Support Vector Machine, Random Forest, Multilayer perception, and XGBoost classifiers on the gold standard datasets using different feature group combinations and random undersampling technique.

创建时间：

2023-08-03

Performance of Support Vector Machine, Random Forest, Multilayer perception, and XGBoost classifiers on the gold standard datasets using different feature group combinations and random undersampling technique.

资源简介：

相关数据集