Trained Model Predict output from unknown values

Hi all.

I've got a trained horse racing model and can predict from this as the prediction variables are known at runtime :- Odds, weight etc. This works very well and I then turned my eyes to tennis. I can quite easily train a model on various stats from the past and the prediction looks OK. The problem is, a lot of the past results are not known before hand of course like number of sets won, server speed etc. How would I predict a player for values not known or am I just trying to do the impossible? I thought about averaging the values perhaps?

Steve Gray

Answer 1

[Anshika Chaurasia]

Hi Steve,

You can refer to the following documentation about various approaches to treat missing data:

https://www.mathworks.com/help/finance/credit-scorecard-modeling-with-missing-values.html#CreditScorecardModelingMissingValuesExample-2

[Stephen Gray]

That's great thanks!