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simulation_data.zip

NIAID Data Ecosystem2026-05-10 收录

特征选择评估

回归分类基准测试

数据链接：

https://figshare.com/articles/dataset/simulation_data_zip/30093073 数据链接链接失效反馈

官方服务：

资源简介：

simulation datasets for feature selection in regression, classification and non-linear regression settings

应用场景：

创建时间：

2025-09-10

特征选择评估

分类性能分析

Statistically significant differences (), as compared to using all the features and measured by a two-tailed t-test, are marked as ‘+’ (positive differences) and ‘−’ (negative differences).

NIAID Data Ecosystem70

Performance results showing the impact of feature selection in virus-host PPI prediction.

病毒-宿主蛋白质相互作用预测

特征选择评估

The impact of feature selection in virus-host PPI prediction is evaluated in comparison to the baseline model (i.e. without feature selection). (XLSX)

Figshare2023-05-02 更新40

AUC obtained by ISIS-SCAD (European).

特征选择评估

分类模型性能

AUC of signature size in {4, 11, 15, 22, 24, 26, 27, 28, 29, 32, 34, 35, 36}, combined with four classification algorithms in a 10-fold cross-validation. For each classification method, we highlighted

Figshare2015-12-03 更新30

Case study.

特征选择评估

变量重要性

Number of permuted and unpermuted covariates, number of permuted covariates classified as important (false positives, FP), and number of unpermuted covariates classified as important (UI). FP and UI v

Figshare2023-01-17 更新40

Performance of selected attributes with the two-step feature selection method.

特征选择评估

稳定性选择

The first column lists different cutoffs of stability selection scores.

Figshare2017-06-15 更新30