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I have a doubt. It's like I have divided the data by calling train_test_split of SKLEARN. Then I am removing the outliers using percentile method for training set only.
So now my x_train is reduced compared to what it had.
But here I have question i.e. even if my y_train still has the same old size and x_train has a different size, My model is getting trained. Won't it be wrong to let the model fitting the data ?
If not, how the model is accompanied in the change?
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hi all,
I have a doubt. It's like I have divided the data by calling train_test_split of SKLEARN. Then I am removing the outliers using percentile method for training set only.
So now my x_train is reduced compared to what it had.
But here I have question i.e. even if my y_train still has the same old size and x_train has a different size, My model is getting trained. Won't it be wrong to let the model fitting the data ?
If not, how the model is accompanied in the change?
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