Modify the following block of code so that you split the data into train and cross...

 

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Modify the following block of code so that you split the data into train and cross validation at a 70%--30% ratio, with cross validation data being 30%. #Split train data for cross validation from sklearn.model_selection import train_test_split x_train,x_cv, y_train, y_cv = train_test_split (x, y, test_size=0.2) Modify the following block of code so that you split the data into train and cross validation at a 70%--30% ratio, with cross validation data being 30%. #Split train data for cross validation from sklearn.model_selection import train_test_split x_train,x_cv, y_train, y_cv = train_test_split (x, y, test_size=0.2)

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To split the data into a 70 training set and a 30 crossvalidation set you can use the foll... View the full answer