Table 1.xls (5.5 kB)
Contents of the build data set showing number of observations (total and by substrate class) available for model development (build) and independent model evaluation.
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posted on 2021-10-29, 17:32 authored by Edward J. Gregr, Dana R. Haggarty, Sarah C. Davies, Cole Fields, Joanne LessardContents of the build data set showing number of observations (total and by substrate class) available for model development (build) and independent model evaluation.
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true skill statisticrandom forest classificationoverlook shallow watersaccurately representing heterogeneitytest model predictionscanada &# 8217known spatial featuresindependent data evaluationbuild data wellmodel performance influencedassessing model stationaritypredict marine substratediv >< palso urgently neededmodel performancemodel fitstationarity acrossmarine resourcescoastal substratecanada ’spatial regionsspatial categorieswork showstimely alternativetime consumingstudy areastandard testsscores rangingpreviously achievedpredictive powerpacific shelfmodels fitindicating nonimprove understandinggrain sizefoundational rolefocus largelyerror metricscurrent approachescountries workbottom typealso testedalmost 200000 km
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