Which application should i use for classification (0 or 1) of ECG data

I have ECG input data set of 38 values each of 30 patients and taget values defined as normal (1) OR abnormal (0) of all 30 patients.

which buildin application should i use to train and set the highest accuracy of the system.

i am using matlab R2015a

Note:input data set file attached

input = [VarName1 VarName2 VarName3 VarName4 VarName5 VarName6 VarName7 VarName8 VarName9 VarName10 VarName11 VarName12 VarName13 VarName14 VarName15 VarName16 VarName17 VarName18 VarName19 VarName20 VarName21 VarName22 VarName23 VarName24 VarName25 VarName26 VarName27 VarName28 VarName29 VarName30];

output = [1 1 1 0 0 1 1 0 1 1 1 0 0 1 1 0 0 0 1 0 0 1 0 1 0 0 1 0 0 1];

Answer 1

[Shubham]

Hey Vandana,

To train a classification model for your ECG dataset, I would recommend you to use the Classification Learner App in Statistics and Machine Learning Toolbox. This app provides a user-friendly interface to train, validate, and compare different classification models. You can export the model having the best accuracy, as needed by you. This app was introduced in R2015a, same as the MATLAB version you are using.

Since the documentation for R2015a is archived as of now, I would suggest you to use the "web" command in your MATLAB command window for accessing the documentation for the Classification Learner App:

web(fullfile(docroot, 'stats/classificationlearner-app.html'))

I hope this was helpful!