When applied to a larger sample of observations with a detectable structure (red divisions), block cross-validation could produce independent data folds that improve the confidence in measures of forecast skill.

When applied to a larger sample of observations with a detectable structure (red divisions), block cross-validation could produce independent data folds that improve the confidence in measures of forecast skill.

When applied to a larger sample of observations with a detectable structure (red divisions), block cross-validation could produce independent data folds that improve the confidence in measures of forecast skill.

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