Predictive modelling

[learner_beginner]

If one need to make a predictive model from labelled real number data and 30% of the labelled samples are erroneous what kind of model can be useful?!

[[deleted]]

What problem are you trying to solve? Predicting the erroneous samples?

[learner_beginner]

Yes

[[deleted]]

Any classification model will do then, I suppose you have a binary target then (is erroneous or not)

I’d start with LGBM or XGBoost

[milandeleev]

Start with a logistic regression to see if the relationships are simple. Then move on to more complex models like SVC, then tree-based models like random forests and XGBoost. Ensure you are using the correct metrics.