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Kudos AI

Tagged “forecasting”

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
9 min readTime Series

The Regression That Finds a Relationship That Is Not There

Two series generated from separate random numbers come out significantly related 82.8% of the time, a standard error on dependent data is too narrow by a computable factor of 2.4, and the usual validation split reports a forecaster more than five times better than it is. Three failures, one cause, and the checks that catch each of them.

StatisticsMachine Learning