８年半 - 経済統計練習帳

import pandas as pd
import numpy as np
from sklearn import linear_model
 
data = pd.read_csv("t.csv", sep=",")
x1 = data.loc[:, ['x1', 'x2']].as_matrix()
y1 = data['x3'].as_matrix()
clx = linear_model.LogisticRegression(random_state=0)
clx.fit(x1, y1)
a = clx.coef_
b = clx.intercept_  
print(a)
print(b) 
print(clx.score(x1, y1))