Logistic Regression is the classification algorithm and it is used for supervised learning classification problems. So, I will start the discussion by comparing differences between Linear Regression ...

Figure 2: Robustness of classification to outliers depends on the type of regression used to establish thresholds. (a) The effect of outliers on classification based on linear regression.

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Model Specifics and Feature Importance: Logistic Regression was also outperformed by SVM with RBF kernel and kNN models, indicating that non-linear decision boundaries are probably better suited for ...

Basic logistic regression classification is arguably the most fundamental machine learning (ML) technique. Basic logistic regression can be used for binary classification, for example predicting if a ...

So we conclude that we can not use linear regression for this type of classification problem. As we know linear regression is bounded, So here comes logistic regression where value strictly ranges ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.