Real-world uses

Created for this library

1. 1.

   A pricing analytics team uses 5-fold cross-validation to compare candidate models on small datasets before locking the choice for production.

2. 2.

   A medical research team uses leave-one-patient-out cross-validation to avoid optimistic estimates of model accuracy on small clinical datasets.

3. 3.

   A risk modeling team uses time-series cross-validation that respects chronological order so the model is never evaluated on data from before its training set.