MATLAB Answers

Why i get 100% accuracy using CVPartion and SVM

3 views (last 30 days)
nurin noor
nurin noor on 17 Jun 2021
Commented: nurin noor on 24 Jun 2021
Hi everyone, i am new to machine learning. I am trying to classify "model1". I used cv partition with 70% of test and 30% of training. However, i am getting 100% accuracy. i am afraid i am using the same data to test and train but i thought cvpartition would help to seperate the data, right? Or i am using the same data for train and testing? Here is my code. I was referring the code from here
https://www.mathworks.com/matlabcentral/answers/377839-split-training-data-and-testing-data

Accepted Answer

Asvin Kumar
Asvin Kumar on 24 Jun 2021
Your usage of cvpartition is correct. You are not using the same data for training and testing.
Your SVM jusr seems to be working very well.
  3 Comments
nurin noor
nurin noor on 24 Jun 2021
i see. very much understood. it is such a relief to know my SVM implementation is correct. Thank you so much !!

Sign in to comment.

More Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!