ValueError: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1

I am trying this training modeling using train_test_split and a decision tree regressor: import sklearn from sklearn.model_selection import train_test_split from sklearn.tree impor

Solution 1:

If the number of splits is greater than number of samples, you will get the first error. Check the snippet from the source code given below:

if self.n_splits > n_samples:
    raise ValueError(
        ("Cannot have number of splits n_splits={0} greater"
         " than the number of samples: {1}.").format(self.n_splits,
                                                     n_samples))

If the number of folds is less than or equal 1, you will get the second error. In your case, the cv = 1. Check the source code:

if n_folds <= 1:
            raise ValueError(
                "k-fold cross validation requires at least one"
                " train / test split by setting n_folds=2 or more,"
                " got n_folds={0}.".format(n_folds))

An educated guess, the number of samples in X_test is less than 3. Check that carefully.