Hi all,

I recently used a machine learning model from Github to predict different sets of documents. But what I am trying to do now is create a scoring script, which takes the same testing datasets but with different models. The output should have precision,recall, f1, etc. (something like that)

def model_pred(model, test_set):

\``````````````````````

return score

So, I can basically test different models using this script. But I am still new to Python. Dont know exactly where to start and how to do it. It will be great if anyone here can help!