to use random forests: when you want a strong baseline with minimal hyperparameter tuning

Boosting (machine learning)

Boosting reduces bias in ML models

Global Forest Change dataset

Global Forest Change dataset covers 2000-2024

to standardize: when you need zero mean and unit variance for gradient-based optimization

Standardize when zero mean and unit variance are required for gradient-based optimization

batch size affects generalization: larger batches find sharper minima

Larger batch sizes lead to sharper minima, enhancing generalization by providing more accurate gradient estimates

Regression discontinuity design

RDD uses a sharp threshold for treatment assignment

non-convex loss landscapes are hard: many local minima and saddle points

Non-convex loss landscapes are hard due to many local minima and saddle points