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| from sklearn.metrics import accuracy_score | |
| import statsmodels.api as sm | |
| logit = sm.Logit(Y_train, X_train) | |
| result = logit.fit() | |
| print(result.summary2()) | |
| Y_p = np.zeros((len(Y_test), 1)) | |
| p = result.predict(X_test) | |
| Y_p[p > 0.5] = 1. | |
| print(accuracy_score(Y_test, Y_p)) |
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