import pandas as pd import numpy as np from sklearn import linear_model from sklearn.externals import joblib data = pd.read_csv("t.csv", sep=",") X = data.loc[:, ['x1', 'x2']].as_matrix() y = data['x3'].as_matrix() clf = linear_model.LogisticRegression(random_state=0) clf.fit(X, y) a = clf.coef_ b = clf.intercept_ print("回帰係数:", a) print("切片:", b) print("決定係数:", clf.score(X, y))