CheetahClock sex LOOCV.

Figshare2026-01-13 更新2026-04-28 收录

生物性别预测

交叉验证

数据链接：

https://figshare.com/articles/dataset/_p_CheetahClock_sex_LOOCV_p_/31060406 数据链接链接失效反馈

官方服务：

资源简介：

Results from CheetahClock for sex leave-one-out cross-validation (LOOCV) on liver and blood samples. (CSV)

创建时间：

2026-01-13

Cross-Validation With Confidence

交叉验证

模型选择

Cross-validation is one of the most popular model and tuning parameter selection methods in statistics and machine learning. Despite its wide applicability, traditional cross-validation methods tend t

DataCite Commons2021-09-29 更新100

MOESM5 of Efficiency of different measures for defining the applicability domain of classification models

分类模型

交叉验证

Additional file 5. Data sets used in this study. The data are provided in the way they were used for the respective computations. In addition to the data, the indices for the fivefold CV are also prov

DataCite Commons2024-12-18 更新90

Appendix B. Statistical analysis: Generalized Least Squares and cross-validation.

最小二乘法

交叉验证

Statistical analysis: Generalized Least Squares and cross-validation.

DataCite Commons2020-09-03 更新60

Results of 5 fold cross validation: average AUC and AUPR over 5 runs.

性能评估

交叉验证

Standard deviation is reported between parentheses. The best AUC and AUPR results are indicated in bold, results that are not significantly different from the best (at ) are indicated in italic.

NIAID Data Ecosystem90

Code and selected data for article "Choosing blocks for spatial cross-validation: Lessons from a marine remote sensing case study"

交叉验证

海洋遥感

Code and selected data for testing how much block size, shape, number of folds, and other factors affect error estimates from spatial block cross-validation. Supplement to the article: Stock, A. (2925

DataCite Commons2025-03-19 更新70

CheetahClock sex LOOCV.

资源简介：

相关数据集