[AI]/python.sklearn
sklearn.LogisticRegression.predict_proba
givemebro
2020. 4. 13. 11:09
반응형
https://broscoding.tistory.com/129
머신러닝.linear_model.LogisticRegression(로지스틱 회귀)
import numpy as np import matplotlib.pyplot as plt # data 준비 from sklearn.datasets import make_blobs X,y=make_blobs(400,2,[[0,0],[5,5]],[2,3]) https://broscoding.tistory.com/128 머신러닝.datasets..
broscoding.tistory.com
# predict_proba()
# proba = probablity(확률)
# 0일 확률 1일 확률 표시
np.round(model.predict_proba(X)[:10],2)array([[0.94, 0.06],
[0.89, 0.11],
[0.14, 0.86],
[0.06, 0.94],
[0. , 1. ],
[0.01, 0.99],
[0.83, 0.17],
[0.87, 0.13],
[0. , 1. ],
[0. , 1. ]])
pred_y[:10],y[:10](array([0, 0, 1, 1, 1, 1, 0, 0, 1, 1]),
array([0, 0, 1, 1, 1, 1, 1, 0, 1, 1]))반응형