Boise, Idaho, Photo by Alden Skeie on Unsplash

Cross Validation

K-Fold Cross Validation Explained…

In last week’s article, I wrote about train-test splits. However, there is a problem with separating the data into only two splits. Since we create random samples of data, the test and train performances can be very different depending on our train-test split. We must validate our model more than one time. We use K-Fold Cross Validation technique to deal with this issue.

Data Scientist, Data Educator, Blogger https://www.linkedin.com/in/seyma-tas/

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Seyma Tas

Seyma Tas

Data Scientist, Data Educator, Blogger https://www.linkedin.com/in/seyma-tas/

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