Bokep
- Viewed 71k times23answered Apr 12, 2019 at 16:06
You can use statsmodels
import statsmodels.api as smlogit_model=sm.Logit(y_train,X_train)result=logit_model.fit()print(result.summary())The results would be something like this
Logit Regression Results==============================================================================Dep. Variable: y No. Observations: 406723Model: Logit Df Residuals: 406710Method: MLE Df Model: 12Date: Fri, 12 Apr 2019 Pseudo R-squ.: 0.001661Time: 16:48:45 Log-Likelihood: -2.8145e+05Content Under CC-BY-SA license p-value Basics with Python Code. What is p-value? It …
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