K-Fold Cross-Validation Code

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Your question is K-Fold Cross-Validation Code. Start with the requirements on the right.

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Problem

Can you write a code snippet to perform k-fold cross-validation?

Implement k_fold_split(n_samples, k, shuffle, seed) using only Python's standard library. Return k pairs of training and validation index lists, with every sample used exactly once for validation. Validation folds should be as balanced as possible, and shuffling must be reproducible when a seed is provided. For example, n_samples = 5, k = 2, shuffle = False returns validation folds of sizes 3 and 2.

Constraints

1 <= n_samples <= 10000
2 <= k <= n_samples
0 <= seed <= 10^9
shuffle is a boolean
Training and validation indices in each split must be disjoint
Every sample must appear in exactly one validation fold

Function Signature

def k_fold_split(n_samples, k, shuffle, seed):

Your solutionPython 3

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