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Overfitting is more likely when you have...
Q.
Overfitting is more likely when you have huge amount of data to train?
A.
true
B.
false
Answer» B. false
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Overfitting is more likely when you have huge amount of data to train?
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Let�s say, you are working with categorical feature(s) and you have not looked at the distribution of the categorical variable in the test data. You want to apply one hot encoding (OHE) on the categorical feature(s). What challenges you may face if you have applied OHE on a categorical variable of train dataset?
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