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Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples Harald Binder & Martin Schumacher University t Freiburg i. Br. a NR. 100 December 2007 Pentium
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Adapting prediction error estimates refer to the process of recalculating and adjusting the predicted error estimates in order to improve the accuracy of predictions.
The individuals or organizations responsible for making predictions or forecasts are required to file adapting prediction error estimates.
Adapting prediction error estimates can be filled out by analyzing the actual error in predictions made and adjusting the predicted error accordingly.
The purpose of adapting prediction error estimates is to improve the accuracy of predictions by taking into account the actual error observed in previous predictions.
Adapting prediction error estimates should report the actual error observed in the predictions made and the adjustments made to the predicted error based on the observation.
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