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 54 10.31%
Classification 22 4.20%
Decision Making 16 3.05%
Image Classification 13 2.48%
Management 12 2.29%
BIG-bench Machine Learning 11 2.10%
Sentiment Analysis 10 1.91%
Language Modelling 9 1.72%
Autonomous Driving 8 1.53%

Components


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

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