Cross Validation from sklearn

machine_learning
data_science
python

#1

from sklearn.cross_validation import train_test_split
please help to let me know if the above library is the right approach to proceed further for cross validation check. If yes which cross validation technique is used above?


#2

Hi @swarup17,

using train_test_split will simply split the dataset into two sets - training and validation randomly. You can go through this article to read about the various validation techniques.