Skip to content

Probability Models project to classify journals with a minimum error model

Notifications You must be signed in to change notification settings

aarya-arun/Bayesian-Minimum-Risk-Classifier

Repository files navigation

Bayesian Minimum Risk Classifier

This repository contains code for the project of our Probability Models for Computer Science course project, of building a Bayesian Minimum Risk Classifier.

ABSTRACT:

TASK: Classify journals as national or international using minimum error classification.

Given: Dataset with journal names and seven features associated with them.  

Risk functions:

Simple algebra is used to choose the class with minimum risk of misclassification, leading to the above decision rule.

Built in

  • Python

About

Probability Models project to classify journals with a minimum error model

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages