Why do we use scikit split?
Scikit Split use
When we get the dataset, we need to train our models and out of these models we need to check which one is the best model. This judgement can’t be done on the basis of training error, as some of them might overfit. So we need to split the dataset, (generally in 80:20 ratio) where we check validation accuracy on the 20% of testing data, and the model with highest validation accuracy is the best one out and we select it.
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