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

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Machine Learning 81 14.65%
Object Detection 58 10.49%
General Classification 21 3.80%
Decision Making 17 3.07%
Management 13 2.35%
Federated Learning 11 1.99%
Sentiment Analysis 11 1.99%
Semantic Segmentation 10 1.81%
Autonomous Driving 10 1.81%

Components


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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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