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Kudos AI

Tagged “cross-validation”

2 articles.

4 min readTime Series

A Score That Loses to Doing Nothing

A five-nearest-neighbour model scores 0.9983 under random five-fold cross-validation on a random walk, a series whose increments are by construction unpredictable. Evaluated forward in time it scores 0.6559 with an RMSE 12.44 times larger, and loses to carrying the last observed value forward. The split, not the model, produced the first number.

StatisticsMachine Learning
7 min readStatistical Learning Foundations

Cross-Validation and Resampling

Why training error is a biased estimate of test error, and how the validation set, leave-one-out, and k-fold approaches fix it, with a five-fold LOOCV computation worked out observation by observation.

StatisticsMachine Learning