vagartha OP t1_j4c3wer wrote on January 14, 2023 at 5:37 PM

Reply to comment by tsgiannis in Building an NBA game prediction model - failing to improve between epochs by vagartha

Simulate? How would I go about doing that? Sorry if that's a silly/involved question, but I'm not sure how I would simulate NBA games.

vagartha OP t1_j4c36zw wrote on January 14, 2023 at 5:32 PM

Reply to comment by tsgiannis in Building an NBA game prediction model - failing to improve between epochs by vagartha

Haha, I live in CA so sports gambling so that's out of the question...

I was actually hoping to maybe write a paper or something and submit it to something like the Sloane conference or send it in to 538 as an add-on to my resume?

Also, my model uses data from seasons going back all the way to 2014 as of right now. Larger datasets would make a better model, right? So why not use more historical data?

vagartha OP t1_j4c0ouq wrote on January 14, 2023 at 5:16 PM

Reply to comment by tsgiannis in Building an NBA game prediction model - failing to improve between epochs by vagartha

So I've separated my dataset into train and validation datasets (90%, 10% split). Is this what you mean?

Or should I have a separate test dataset on top of that you think?

vagartha OP t1_j3kmj7i wrote on January 9, 2023 at 5:12 AM

Reply to comment by junetwentyfirst2020 in Building an NBA game prediction model - failing to improve between epochs by vagartha

That’s a really good idea lol. I’ll try that and get back to you.

As an aside, do you always do this to test your process?