XGBoost Parameters and FLOPs Calculator

Input

Trees T Depth D Classes C

Parameters

FLOPs per sample

For more context, see the XGBoost.
For binary classification, the number of classes is set to 1.
For multi-class classification, see the comments for more details.
The style of this website is borrowed from here.