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Comparisons of average classifier precision with existing FS measures.

Figshare2018-08-28 更新2026-04-29 收录

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https://figshare.com/articles/dataset/Comparisons_of_average_classifier_precision_with_existing_FS_measures_/7018586 数据链接链接失效反馈

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资源简介：

Comparisons of average classifier precision with existing FS measures.

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创建时间：

2018-08-28

MRI影像分类

分类器性能比较

(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best value for each performance measure is highlighted in bold. The value in the parenthesis is the standard d

NIAID Data Ecosystem70

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

Pearson correlation coefficients (top right) and mutual information (bottom left) between measures across 133 individual feature-based classifiers.

分类器相关性分析

特征选择评估

Pearson correlation coefficients (top right) and mutual information (bottom left) between measures across 133 individual feature-based classifiers.

NIAID Data Ecosystem20

2020-生物名录仓库

物种名录

分类器性能比较

本数据库收录了来自全球重要的生物物种名录64个，既包括鸟类、真菌、蚂蚁等以类群为单位的名录，也包括来自CoL、ITIS、Worms等多个综合性的名录。基于该数据库，我们构建了分类树比较工具，可以对不同来源的分类系统进行比较分析，加以整合，形成其他数据产品。

地球大数据科学工程50

Friedman test p -values after testing for the null hypothesis that all classifiers perform equally well.