Comparing models with test data scores and selecting features
I am currently running a flow to do a binary classification model. After running the model on my training data, I want to compare the results of the top three models on my test data set (accuracy, precision, recall, etc.). I know how to do it on the train dataset, but I am unsure on how to do it on the test data and compare it via model comparisons.
Also, after running my flow on the entire set of features, is there a way to only select the top 5 features to run a new model on?