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Calculating the prediction interval coverage probability (PICP)
Aug. 7, 2023, 6:37 p.m. | Trevan Flynn
R-bloggers www.r-bloggers.com
In digital soil mapping (DSM), we make predictions of the spatial distribution of a soil property, which comes with uncertainties/errors. To quantify the accuracy we split the data into a training and test set, where we train a machine learning model (e.g., random forest, additive models, splines, etc.) ...
Continue reading: Calculating the prediction interval coverage probability (PICP)
accuracy data digital distribution errors etc interval machine machine learning machine learning model mapping prediction predictions probability property random r bloggers reading set test training
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