Robert E. Schapire
(2 articles)
1901
PCA
Principal Component Analysis
Principal Component Analysis
A statistical procedure that transforms a dataset into a set of orthogonal components, intended to reduce dimensionality while preserving as much variability as possible.
Generality: 500
1931
Cross Validation
Statistical method used to estimate the skill of ML models on unseen data by partitioning the original dataset into a training set to train the model and a test set to evaluate it.
Generality: 852