Preparing data for Classification Learner

I have received a file with data for classification. The structure of file is such that there are around 70 structures. Each structure consists of s1 and s5 matrices, each of approximately 300 x 320 numerical readings and a label (0/1).

There is no additional information about the data, and there are no other labels. As far as I understand this, S1 should be training data, while s5 should be test data.

I have struck a wall in preparing this for a Classification learner, and I was not able to transform data into appropriate form to match each matrix to each label, that is to correctly import data into CL app. I am failing to see how to do this transformation, and if I might be missing a step here.

I would greatly appreciate any help with this.

Thank you

[Ahmet Cecen]

There are a lot of holes in this story, at least for me, to be able to help you. I can inspect the data if you share it and see if I can help you, since there is no additional information about the data apparently.

Answer 1

[HUGO SILVA]

I would like to know more how to prepare data for Classification Learner.

I am starter and I am having some difficults to use the app Classifation Learner. I am trying to find a video, or a detailed tutorial that teach how to prepare data, but I don't find it.

I have datas where a I would like classified 4 kinds of peaks. I am have difficult to create a file, or table, where it has datas and response wished.

How can I do it?

Answer 2

[Mubashir]

firstly prepare single data file in form of table or matrix. Using workspace import data in Classification learner. Then assign predictor or response to specified variables and then go further to select your further classification techniques.