In sklearn, there is a method for cross validation called cross_val_score. One of the parameters of this method is 'cv'.
I understand in cross validation, there is no splitting the data into training and validation (70-30 split). Instead, you split the data into 'k' subsamples, then train it on the K-1 subsamples and validate using the kth sample. And repeat it for each of the 'k' subsamples.
So is this cv = k, i.e the number of subsamples in which you split the training data?