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cross validation python

Alexander Lee 
# SVC: support vector classifier (one of the "built-in" classifiers in scikit-learn)
# X, y: array-like representing input and target variables
# X.shape = (N, num_of_features)
# y.shape = (N, 1) in case of classification problem

from sklearn.model_selection import cross_val_score
clf = svm.SVC(kernel='linear', C=1, random_state=42)
scores = cross_val_score(clf, X, y, cv=5) # 5-fold cross validation
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Farheen samad 110 points 

                                    Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample. The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into. As such, the procedure is often called k-fold cross-validation.

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Remmargorp 55 points 

                                    from sklearn.model_selection import cross_validate

4.17 (6 Votes)
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4
2
Adam w 100 points 

                                    from sklearn.model_selection import train_test_split

4 (2 Votes)
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