year2012= xlsread('year2012.xlsx');
XTrain=year2012(1:91,1:2);
 YTrain=year2012(1:91,3);
 model1 = svmtrain(YTrain,XTrain, '-s,4, -n,3,-c,10,-b,1');
 save model1 model1;

load('model1.mat')
year2012= xlsread('year2012.xlsx');
feaures=year2012(1:91,4:5);
 m=zeros(91,1);
 [predicted_label, ~, ~] = svmpredict(m, feaures, model1,'libsvm_options');

Accuracy = 0% (0/91) (classification)