Data analysis - Concept
Gradient boosting
A method that builds a series of models where each new model tries to correct earlier mistakes
What's it for?
To improve predictive accuracy by successively correcting errors made by earlier models.
Data analysis - Concept
A method that builds a series of models where each new model tries to correct earlier mistakes
To improve predictive accuracy by successively correcting errors made by earlier models.