I have 9 observations, 23 features and two classes (low grade and high grade). I am trying to find a combination of these features that can help with the classification.
I am quite new at these classification problems so I decided to run the Classification Learner App. I decided to run in parallel all the models and the quadratic SVM showed the highest accuracy. Then I tried to run it outside the app with the two variables: TABLE (with the features) and grade (with the labels).
I don't really understand the results as I was expecting a 'score' for each feature so as to reduce the number of features for the classification.
Is the hypothesis wrong? Shall I use something else (as the LASSO for example)?
Thank you for the help.