Naive Bayes (NB) Classifier

Multi-class Classification with the NB
528 Downloads
Aktualisiert 10. Nov 2020

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.

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2016a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
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

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.