心脏病分类检测附matlab代码.zip

function out=evl(data,labels,algorithm) orgndata=data; orglabel=labels; ten=fix(size(data,1)/10); for i=1:10 data=orgndata; label=orglabel; test=data((i-1)*ten+1:i*ten,:); l_test=label((i-1)*ten+1:i*ten,:); data((i-1)*ten+1:i*ten,:)=[]; label((i-1)*ten+1:i*ten,:)=[]; traindata=data; trainlabel=label; switch algorithm case 'NB' Class = NB(traindata,trainlabel,test); case 'KNN' Class= KNN(traindata,trainlabel,test); case 'DT' Class= DT(traindata,trainlabel,test); case 'MSVM' Class=MSVM(traindata,trainlabel,test); case 'SVM' Class=SVM(traindata,trainlabel,test); case 'NN' Class=NN(traindata,trainlabel,test); case 'BAG' Class=bagging_ens(traindata,trainlabel,test); case 'Boost' Class=boosting_ens(traindata,trainlabel,test); case 'RAND' Class=subspace_ens(traindata,trainlabel,test); end [accuracy(i),precision(i),recall(i)]= evaluation(Class,l_test); end ac=mean(accuracy)*100; prec=mean(precision)*100; rec=mean(recall)*100; out=[ac,prec,rec,]; end