Cross Validation Score

#1

Please tell me that what is cross validation score,how it is different from the normal score and how to calculate it?

#2

There are two types of score, training accuracy/score, and cross validation score. Cross validation score is used to estimate the performance of our model. Since we need to check out the best model, cross validation score helps.

Actually when we are given the dataset, the first step is to preprocess data and than split it into two sets of ratio 80:20(percent, generally) namely training set and validation set. This means we will train our model only on 80% of dataset, and keep 20% of dataset to measure the performance of the model.

So when you talk about normal score you are talking about training score and when you talk about cross validation score, you are talking about score of your model on that 20% of dataset, which your model is not trained on .

Hope this cleared your doubt. :blush:

#3

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