(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
-
Updated
Jun 18, 2024 - Python
(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
Weka implementation of the cost-sensitive decision forest algorithm CSForest.
This project implements several methods for cost sensitive classification, based on a POMDP formalization, and an MDP formalization of the problem
Football Positions: A Multi-class Classification Problem
A comprehensive machine learning analysis focusing on predicting the influence of review authors in real-life and online environments using Weka
A python class for making machine learning algorithms cost sensitive.
Add a description, image, and links to the cost-sensitive-classification topic page so that developers can more easily learn about it.
To associate your repository with the cost-sensitive-classification topic, visit your repo's landing page and select "manage topics."