X_train, X_val, y_train, y_val = train_test_split(X, y, test_size = 0.2, random_state = i) sampling_results.seed[i] = i sampling_results.train_survive[i] = sum(y ...
According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...