binomial-logistic-regression

There are 4 repositories under binomial-logistic-regression topic.

  • T-Obuchi/AcceleratedCVonMLR_python

    This Python package enables to efficiently compute leave-one-out cross validation error for multinomial logistic regression with elastic net (L1 and L2) penalty. The computation is based on an analytical approximation, which enables to avoid re-optimization and to reduce much computational time. MATLAB version: https://github.com/T-Obuchi/AcceleratedCVonMLR_matlab

    Language:Python2301

  • girirajv10/Logistic-Regression

    Logistic Regression is a supervised learning algorithm that is used when the target variable is categorical. In Logistic Regression the target variable is categorical where we have to strict the range of predicted values. Consider a classification problem, where we need to classify whether an email is a spam or not. So we have to predict either 0 (for not spam) or 1 (for spam).

    Language:Jupyter Notebook1100

  • T-Obuchi/AcceleratedCVonMLR_matlab

    This MATLAB package enables to efficiently compute leave-one-out cross validation error for multinomial logistic regression with elastic net (L1 and L2) penalty. The computation is based on an analytical approximation, which enables to avoid re-optimization and to reduce much computational time. Python version: https://github.com/T-Obuchi/AcceleratedCVonMLR_python

    Language:MATLAB0201

  • Asmagithu/Prediction-with-Binomial-Logistic-Regression-19th-November

    This repo includes Prediction with Binomial Logistic Regression.

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