five

Comparisons among regression learning techniques results for model precision and accuracy.

收藏
Figshare2015-12-02 更新2026-05-11 收录
下载链接:
https://figshare.com/articles/dataset/_Comparisons_among_regression_learning_techniques_results_for_model_precision_and_accuracy_/549360
下载链接
链接失效反馈
官方服务:
资源简介:
All values of R presented as negative values are from [33] as such a negative R model would not yield useful MSE values.1) MSE, labeled as RMSE.2) accuracy was defined as ��100 minus the average percentage difference between predicted and observed knockdown activities��.3) a dataset of 702 siRNAs was used, not the 2431 dataset considered by the remainder of the table.
创建时间:
2015-12-02
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作