Naive Bayes (NB) Classifier

Version 1.1.7 (3.17 KB) by David Ferreira
Multi-class Classification with the NB
5.0
(2)
540 Downloads
Updated 10 Nov 2020
View License on GitHub

Function
1. NaiveBayes.predict(_)
2. NaiveBayes.find(_)

Description
1. Returns the estimated labels of one or multiple test instances and the accuracy of the estimates.
2. Returns the labels with their respective probabilities in descending order.

Examples using Iris Data Set

load fisheriris

X = meas;
Y = species;
Xnew = [min(X);mean(X);max(X)];

mdl = NaiveBayes('gaussian');
mdl = mdl.fit(X,Y)
Ypred = mdl.predict(Xnew)

Ypred =

'setosa'
'versicolor'
'virginica'


Ynew = {'versicolor';'versicolor';'virginica'};
accuracy = accuracy_score(Ypred,Ynew)

accuracy =

0.6667

See more examples described in the script files.

Cite As

David Ferreira (2024). Naive Bayes (NB) Classifier (https://github.com/ferreirad08/NaiveBayesClassifier/releases/tag/1.1.7), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.7

See release notes for this release on GitHub: https://github.com/ferreirad08/NaiveBayesClassifier/releases/tag/1.1.7
1.1.6

See release notes for this release on GitHub: https://github.com/ferreirad08/NaiveBayesClassifier/releases/tag/1.1.6
1.1.5

See release notes for this release on GitHub: https://github.com/ferreirad08/Gaussian-Naive-Bayes-GNB-Classifier/releases/tag/1.1.5
1.1.3

See release notes for this release on GitHub: https://github.com/ferreirad08/Gaussian-Naive-Bayes-GNB-Classifier/releases/tag/1.1.3
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.