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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))
 
最終更新:2018年01月23日 12:25