Naive Bayes (NB) Classifier
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.
Citar como
David Ferreira (2024). Naive Bayes (NB) Classifier (https://github.com/ferreirad08/NaiveBayesClassifier/releases/tag/1.1.7), GitHub. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
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Versión | Publicado | Notas de la versión | |
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1.1.7 | See release notes for this release on GitHub: https://github.com/ferreirad08/NaiveBayesClassifier/releases/tag/1.1.7 |
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1.1.6 | See release notes for this release on GitHub: https://github.com/ferreirad08/NaiveBayesClassifier/releases/tag/1.1.6 |
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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 |
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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 |