Naive Bayes (NB) Classifier

Multi-class Classification with the NB

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.