Completed
Calculating Gain to evaluate different thresholds
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
XGBoost Part 1 - Regression
Automatically move to the next video in the Classroom when playback concludes
- 1 Awesome song and introduction
- 2 The initial prediction
- 3 Building an XGBoost Tree for regression
- 4 Calculating Similarity Scores
- 5 Calculating Gain to evaluate different thresholds
- 6 Pruning an XGBoost Tree
- 7 Building an XGBoost Tree with regularization
- 8 Calculating output values for an XGBoost Tree
- 9 Making predictions with XGBoost
- 10 Summary of concepts and main ideas
- 11 I say "66", but I meant to say "62.48". However, either way, the conclusion is the same.
- 12 In the original XGBoost documents they use the epsilon symbol to refer to the learning rate, but in the actual implementation, this is controlled via the "eta" parameter. So, I guess to be consisten…
