I’ve trained a model via Orange data mining. It’s a simple thing, it just predicts if an applicant could get a loan based on some info about him. I’d like to put it in Python, but I don’t understand how to pass the data. Moreover, I think I’m getting wrong the normalization of the data, like a string (so a categorical value on Orange) maybe should turn into numeric, and things like that.

I’ve trained a model via Orange datamining. It’s a simple thing, it just predict if an applicant could get a loan based on some info about him. I’d like to put it on Python, but I don’t understand how to pass the data. Moreover I think I’m getting wrong the normalization of the data, like a string (so a categorical value on Orange) maybe should turn into numeric, and things like that.

I’ve trained a machine learning model in Orange that classifies dogs and cats with great accuracy. However, when I export the model to a pickle file and load it in Python, it consistently predicts “cat” regardless of the input data.