Improvement of prediction accuracy by choosing resampling distribution via cross-validation
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DOI: 10.1007/s41237-024-00239-0
Abstract: In a regression model, prediction is typically performed after model selection. The large variability in the model selection makes the prediction unstable. Thus, it is essential to reduce the variability in model selection and improve… read more here.
Keywords: prediction accuracy; resampling distribution; distribution; prediction ... See more keywords