Classification using test and train datasets.

For classifcation using decision tree and finding the accuracy of the classification I used the code below, but I am getting error messages. How can I find the classifcation and accuracy of the classification? Please help me.

trainData = xlsread('arrtrain.xlsx'); 
testData = xlsread('arrtest.xlsx');
tr = fitctree(trainData(:,2:end),trainData(:,1)); 
predictLabels = predict(tr,testData(:,2:end));            
trueLabels = testData(:,1); 
testAccuracy = sum(predictLabels == trueLabels)/length(trueLabels)*100;

The datasets are attached here.

[Silpa K]

clc

clear

b=zeros(36,1);

ts = xlsread('ArrowHead_TRAIN.xlsx');

l=length(ts);

for i = 1:36

p=ts(i,:);

fa = movstd(p,20,1);

secarray=movstd(fa,20,1);

k=maxk(secarray,10);

mpt=find(p);

mp=p(mpt(round(numel(mpt)/2)));

G=min(abs(mp-k));

[~,ii] = min(abs(p(:) - k(:)'));

out = p(unique(ii));

for i = 1 : size(ts,1)

b = 30;

p = ts(i,:);

n = numel(p);

Z = mat2cell(p, 1, diff([0:b:n-1,n]));

end

A = [];

for ii = 1:length(Z)

if any(ismember(Z{ii},out))

if (k-mp<=G+l/2)

A{end+1} = Z{ii};

aa = ii;

end

end

end

z=Z{ii};

idx=p(1:1);

q=[idx z];

data = q;

cellReference = sprintf('A%d', i);

xlswrite('tra.xlsx', data, 1, cellReference);

end

I used the above code for getting the datasets.How can I write all the needed rows in excel.

Answer 1

[Image Analyst]

You need to give it data.

Your workbooks are completely empty except for a single number in one cell way down at row 175.