matlab出错leveling,老是出现错误未定义变量

load('video_caadis_15.mat')

predict_labelkk=[];predict_labelnn=[];predict_labelbb=[];testlabels=[];

data1=video_caadis_15(1:184,:);

data2=video_caadis_15(185:368,:);

data3=video_caadis_15(369:552,:);

data4=video_caadis_15(553:736,:);

data5=video_caadis_15(737:920,:);

data6=video_caadis_15(921:1104,:);

data7=video_caadis_15(1105:1288,:);

data8=video_caadis_15(1289:1472,:);

data9=video_caadis_15(1473:1656,:);

data10=video_caadis_15(1657:1840,:);

data11=video_caadis_15(1841:2024,:);

data12=video_caadis_15(2025:2208,:);

data13=video_caadis_15(2209:2392,:);

data14=video_caadis_15(2393:2576,:);

data15=video_caadis_15(2577:2760,:);

for u=1:30

a=randperm(184);

dt1=data1(a,:);

dt2=data2(a,:);

dt3=data3(a,:);

dt4=data4(a,:);

dt5=data5(a,:);

dt6=data6(a,:);

dt7=data7(a,:);

dt8=data8(a,:);

dt9=data9(a,:);

dt10=data10(a,:);

dt11=data11(a,:);

dt12=data12(a,:);

dt13=data13(a,:);

dt14=data14(a,:);

dt15=data15(a,:);

dat1=dt1(1:138,:);

dat2=dt2(1:138,:);

dat3=dt3(1:138,:);

dat4=dt4(1:138,:);

dat5=dt5(1:138,:);

dat6=dt6(1:138,:);

dat7=dt7(1:138,:);

dat8=dt8(1:138,:);

dat9=dt9(1:138,:);

dat10=dt10(1:138,:);

dat11=dt11(1:138,:);

dat12=dt12(1:138,:);

dat13=dt13(1:138,:);

dat14=dt14(1:138,:);

dat15=dt15(1:138,:);

traindata=[dat1;dat2;dat3;dat4;dat5;dat6;dat7;dat8;dat9;dat10;dat11;dat12;dat13;dat14;dat15];

train_data= traindata';

daat1=dt1(139:184,:);

daat2=dt2(139:184,:);

daat3=dt3(139:184,:);

daat4=dt4(139:184,:);

daat5=dt5(139:184,:);

daat6=dt6(139:184,:);

daat7=dt7(139:184,:);

daat8=dt8(139:184,:);

daat9=dt9(139:184,:);

daat10=dt10(139:184,:);

daat11=dt11(139:184,:);

daat12=dt12(139:184,:);

daat13=dt13(139:184,:);

daat14=dt14(139:184,:);

daat15=dt15(139:184,:);

testdata=[daat1;daat2;daat3;daat4;daat5;daat6;daat7;daat8;daat9;daat10;daat11;daat12;daat13;daat14;daat15];

test_data=testdata';

label1= [ones(1,138),2*ones(1,138),3*ones(1,138),4*ones(1,138),5*ones(1,138)];

label2= [6*ones(1,138),7*ones(1,138),8*ones(1,138), 9*ones(1,138), 10*ones(1,138)];

label3= [11*ones(1,138),12*ones(1,138),13*ones(1,138), 14*ones(1,138), 15*ones(1,138)];

label4= [ones(1,46),2*ones(1,46),3*ones(1,46),4*ones(1,46),5*ones(1,46)];

label5= [6*ones(1,46),7*ones(1,46),8*ones(1,46), 9*ones(1,46), 10*ones(1,46)];

label6= [11*ones(1,46),12*ones(1,46),13*ones(1,46), 14*ones(1,46), 15*ones(1,46)];

train_label=[label1,label2,label3];

test_label=[label4,label5,label6];

trainlabel=train_label';

testlabel=test_label';

mdl1 = ClassificationKNN.fit(traindata,trainlabel,'NumNeighbors',3);

predict_labelk1= predict(mdl1, testdata);

% svmModel = svmtrain(traindata, trainlabel);

% predict_labels1 = svmclassify(svmModel,testdata,'showplot',true);

nb1 = NaiveBayes.fit(traindata, trainlabel);

predict_labeln1=predict(nb1, testdata);

B = TreeBagger(20,traindata,trainlabel);

predict_labelb= predict(B,testdata);

for bi=1:690

labelb=cell2mat(predict_labelb(bi,1));

labelb1=str2double(labelb);

predict_labelb1(bi,1)=labelb1;

end

predict_labelkk=[predict_labelkk;predict_labelk1];

predict_labelnn=[predict_labelnn;predict_labeln1];

predict_labelbb=[predict_labelbb;predict_labelb1];

testlabels=[testlabels;testlabel];

end

% accsvm=sum(predictss_labels==tess_label)/size(tess_label,1);

accknn=sum(predict_labelkk==testlabels)/size(testlabels,1);

accnb=sum(predict_labelnn==testlabels)/size(testlabels,1);

accforest=sum(predict_labelbb==testlabels)/size(testlabels,1);

为什么老师出现

未定义函数或变量 'video_caadis_15'。

出错 voting_1113zijixiugai (line 5)

data1=video_caadis_15(1:184,:);