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answer from sklearn.metrics import classification_report

related export sklearn.metrics.classification_report as csv

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>>> from sklearn.neural_network import MLPClassifier >>> from sklearn.datasets import make_classification >>> from sklearn.model_selection import train_test_split >>> X, y = make_classification(n_samples=100, random_state=1) >>> X_train, X_test, y_train,

import sklearn in python

sklearn.metrics accuracy_score