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Naive Bayes (NB) Classifier

version 1.1.7 (3.17 KB) by David Ferreira
Multi-class Classification with the NB

25 Downloads

Updated 10 Nov 2020

From GitHub

View Version History

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 (2021). Naive Bayes (NB) Classifier (https://github.com/ferreirad08/NaiveBayesClassifier/releases/tag/1.1.7), GitHub. Retrieved .

Comments and Ratings (2)

Huang Darren

Chang hsiung

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

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