How we would create a logistic regression model in python?
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30 Citations | In this study, we propose further modifications of the logistic regression model that do not require any additional variables that may be hard to measure. |
60 Citations | Logistic regression is one of the most widely used regression models in practice, but alternatives to conventional maximum likelihood estimation methods may be more appropriate for small or sparse samples. |
The proposed model can also produce more precise predicting accuracy than logistic regression model. | |
37 Citations | Logistic regression is useful for health-related research in which outcomes of interest are often categorical. |
25 Jun 2018 7 Citations | We show that the proposed framework yields better results compared to standard logistic regression model. |
20 Jun 2019 | Our findings showed that logistic regression is a suitable model given its interpretability and good predictive capacity. |
9 Citations | This suggests that the model of the logistic regression can be used in practice. |
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