use fitcknn, fitcsvm

Hi all,

I have a template ECG signal, and I have 40 test of ECG. Now I have to use function fitcknn and fitcsvm to do machine learning classification for statistic.

But I dont know how to run the code, I put like this but the code returned error

I really appreciate for your help

M1 = fitcknn(template,ecg_test_rand);
M2 = fitcsvm(template,ecg_test_rand);

Answer 1

[arushi]

Hi Tu Nguyen,

I understand that you are trying to classify ECG data using “fitcknn” and “fitcsvm” inbuilt function.

To classify ECG data using the built-in functions “fitcknn” and “fitcsvm”, you can refer to the provided code snippet:

% Load the data into the MATLAB workspace from the file
a = load("ecg.csv")

% Divide the data into Training data and Testing Data. You can try %different algorithms for data division
cv = cvpartition(size(a,1),'HoldOut',0.3);
idx = cv.test;

% Separate the training and test data
dataTrain = a(~idx,:);
dataTest  = a(idx,:);

% Separate the input data and output data from the training data
dataTrainX = dataTrain(:,(1:end-1));
dataTrainY = dataTrain(:,end);

% Train the Model using the built-in functions
Mdl = fitcknn(dataTrainX, dataTrainY);
Md2 = fitcsvm(dataTrainX, dataTrainY);

For more information on “fitcknn” function, you can refer to the below Mathworks documentation link: -

https://www.mathworks.com/help/stats/fitcknn.html

For more information on “‘fitcsvm” function, you can refer to the below Mathworks documentation link: -

https://www.mathworks.com/help/stats/fitcsvm.html

I hope this helps!