MATLAB Classification Learner App Tutorial 

Thank you for this video. As a beginner in matlab it helped me a lot.

CONTINUE THIS VIDEO AND MAKE HOW TO USE EXPORT MODEL FOR PREDECT NEW DATA.

Thanks for this great tutorial... can you provide us with how to test this model with a new data

After making the model, how can we test a new data set with the trained model. Could you please explain that?

Hey Bro.... Thanks...I was looking for this classification learner tutorial and saw u have this. Thanks. You have just saved my times :D :D

Thank you so much for introducing this feature

Thank you! This was very helpful to get started with the app.

Thank you for giving this video

I have made the algorithm that takes EEG signal as input and based on a value of a parameter called coupling index,it tells whether a person has seizures or not.The problem is : I cannot understand which machine learning model like knn or svm is suitable for testing this algorithm Secondly I cant under stant that when using classification learner app whether EEG values will be taken as predictor and coupling index as response or vice versa.I have only one feature i.e coupling index to diagnose the occurence of seizure.Please help me out

Best❤

Hello Redwan, Thanks for the tutorial. What is trainingData, it is the same that the train dataset? And how can we change the name of the classes? instead of 0,1,2,3... put the real name Regards

How do I view the model made in the toolbox in tree format?

how does the adaboost algorithm work?

Sir, why my top toolbar is grey after I load the data? I can see the scatter plot but I cannot choose any of these options

Hello Redwan.. I must appreciate the way you have explained it so well. I am also working on binary classification using this app. Everything goes fine till you mentioned but when I export the model into workspace and start testing with new data, it shows an error and does not continue. Can you please help me out? I can share details if you say. TIA

How to customize our model generated code???

Thank you

i need your help dear can i talk you ?please