Complete model evaluation toolkit: bias-variance decomposition with bootstrap, learning curves, k-fold cross-validation with per-fold scores, and permutation feature importance — model-agnostic.
Complete model evaluation toolkit: bias-variance decomposition with bootstrap, learning curves, k-fold cross-validation with per-fold scores, and permutation feature importance — model-agnostic. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.
Part of the Machine Learning Labs track — 5 labs covering the full curriculum.