1
$\begingroup$

I working on a classification problem.
I have created Python code that takes certain labelled input data. This is then converted into two 2 dimensional arrays. The first array is an input array of dimension NxM, where N is the number of data samples. Each row implies input condition. The second array is an output array of dimension 1xK (single row and K columns). Only one bit is set for any of the input conditions.
Using this data, I have trained a CNN. Based on the trained model, I then use independent data in order to validate if my trained model is able to predict properly. I get good accuracy of about 90%.

Questions:

  1. I would like to know other than CNN, what other machine learning method I can use. I want to compare how CNN performs vs other classification methods for the problem I am working on.

  2. Secondly, do I need to make any data modifications in order to do this.

Improve this question
$\endgroup$
1
  • 1
    $\begingroup$ I proposed an edit to your question to make it better readable. Please have a look at the formatting help for future reference. $\endgroup$
    – deemel
    Commented Aug 9, 2018 at 5:58

0

Reset to default

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.