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
Object Detection 63 13.15%
General Classification 61 12.73%
Feature Selection 18 3.76%
Federated Learning 13 2.71%
Semantic Segmentation 12 2.51%
Decision Making 12 2.51%
Time Series 11 2.30%
Sentiment Analysis 11 2.30%
Real-Time Object Detection 10 2.09%

Components


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

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