K-fold Cross | 就愛喝咖啡
![K-fold Cross](https://i.imgur.com/B2oemyF.jpg)
2023年1月11日—InK-foldcross-validation,thedatasetisdividedintoanumberofK-foldsandusedtoassessthemodel'sabilityasnewdatabecomeavailable ...
![K-fold Cross](https://i.imgur.com/B2oemyF.jpg)
Cross-validation is a resampling technique used to validate machine learning models against a limited sample of data. In this article we will talk about K-fold Cross-validation and its advantages and disadvantages.Its working is shown with python program.
The concept of cross-validation is widely used in data science and machine learning. It’s a way to verify the performance of a predictive model before using it in an actual situation. Essentially, it helps you avoid creating inaccurate predictions. Using multiple training sets is crucial when performing cross-validation. You must have multiple test sets to ensure your model performs as expected.In this article we are going to learn about K-fold Cross-validation.
Table of contents What is cross-validation?Cross-validation[1] is a resampling technique...