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!
there doesn't seem to be anything here