I have five classifiers SVM, random forest, naive Bayes, decision tree, KNN,I attached my Matlab code. I want to combine the results of these five classifiers on a dataset by using majority voting method and I want to consider all these classifiers have the same weight. because the number of the tests is calculated 5 so the output of each classifier is 5 labels(class labels in this example is 1 or 2). I'll be gratefull to have your opinions
clear allclose allclcload data.mat;data=data;[n,m]=size(data);rows=(1:n);test_count=floor((1/6)*n);sum_ens=0;sum_result=0;test_rows=randsample(rows,test_count);train_rows=setdiff(rows,test_rows);test=data(test_rows,:);train=data(train_rows,:);xtest=test(:,1:m-1);ytest=test(:,m);xtrain=train(:,1:m-1);ytrain=train(:,m);%-----------svm------------------
svm=svm1(xtest,xtrain,ytrain);%-------------random forest---------------
rforest=randomforest(xtest,xtrain,ytrain);%-------------decision tree---------------
DT=DTree(xtest,xtrain,ytrain);%---------------bayesian---------------------
NBModel = NaiveBayes.fit(xtrain,ytrain, 'Distribution', 'kernel');Pred = NBModel.predict(xtest);dt=Pred;%--------------KNN----------------
knnModel=fitcknn(xtrain,ytrain,'NumNeighbors',4); pred=knnModel.predict(xtest); sk=pred;
how can I apply majority voting directly on these outputs of classifiers in Matlab?
Thanks very much
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