Generalized Linear Models

Logistic Regression

Logistic Regression, despite its name, is a linear model for classification rather than regression. Logistic regression is also known in the literature as logit regression, maximum-entropy classification (MaxEnt) or the log-linear classifier. In this model, the probabilities describing the possible outcomes of a single trial are modeled using a logistic function.

Source: scikit-learn

Image: Michaelg2015


Paper Code Results Date Stars


Task Papers Share
Object Detection 52 9.56%
BIG-bench Machine Learning 45 8.27%
Classification 25 4.60%
Decision Making 17 3.13%
Sentiment Analysis 13 2.39%
Management 12 2.21%
Image Classification 12 2.21%
Federated Learning 11 2.02%
Time Series Analysis 10 1.84%


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