I'm doing the tutorial to build an Analytical Model. The steps are quick and easy and yet I've got an innacurate model at the end.
Here is the dataset provided in the tutorial. I create a model with the basic configuration using all indicators with low_grease boolean as goal (same as the tutorial).
I don't undestand what I'm doing wrong. Any clue?
Tutorial result :
My result :
Solved! Go to Solution.
Thank you for opening the post on community. It seems there is major difference between actual model and your model.
I can see lot of values falling under False positive for you as per confusion matrix. Did you exclude any field while creating model?
Have you checked the profiling?
I did not exclude any field in my model.
What do you mean by check the profiling?
But the thing is that I reproduce every step of the tutorial...
Signals and profiles is the 6th step in that tutorial. I am not sure why you are getting this inaccurate model.
Could you please try to retrain it or build and new model with same data set.
Also do try with Refine model steps given in 7th point and let me know if it works for you.
Profiles and Signals are the same than the tutorial, no trouble here.
When I retrain or rebuild a new model with the dataset the results are still around 0.4 for the precision, still bad.
Refining the model doesn't help either.
Could you tell me if you have the same result as the tutorial please?