SVM - 50% training accuracy
Posted: Wed Mar 09, 2022 10:39 am
Hello everyone,
I am trying to compare the accuracy of LDA, MLP and SVM classification algorithms, of motor imagery scenarios with CSP spatial filter.
LDA and MLP works fine but when it comes to SVM, it always gives 50% as the training accuracy. (I tried it with 12 different eeg files)
I use 2 classes (left & right hand movements) and I know I have to shift by -0.5 since SVM gives results between [0,1].
My question is, where I should place the Simple DSP box (x-0.5)?
I want to get both training accuracy and cross validation test accuracy so do I need to shift values by -0.5 in scenario "mi-csp-3-classifier-trainer" since in the "online scenario" where we use "classifier prosessor" box, it doesn't give these accuracies? Or maybe is there a way to get both of those accuracies in the online scenario?
Please help me understand!
Thank you in advance
I am trying to compare the accuracy of LDA, MLP and SVM classification algorithms, of motor imagery scenarios with CSP spatial filter.
LDA and MLP works fine but when it comes to SVM, it always gives 50% as the training accuracy. (I tried it with 12 different eeg files)
I use 2 classes (left & right hand movements) and I know I have to shift by -0.5 since SVM gives results between [0,1].
My question is, where I should place the Simple DSP box (x-0.5)?
I want to get both training accuracy and cross validation test accuracy so do I need to shift values by -0.5 in scenario "mi-csp-3-classifier-trainer" since in the "online scenario" where we use "classifier prosessor" box, it doesn't give these accuracies? Or maybe is there a way to get both of those accuracies in the online scenario?
Please help me understand!
Thank you in advance