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
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
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