Translations:PAVEsense - IRI Correlation/8/nl: Difference between revisions

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Latest revision as of 11:47, 14 October 2026

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Below we have also compared the "driving quality" indicator with the reference measurements. We analyse this with a "confusion matrix", a standard approach for classification problems. Quality is mainly predicted in neighbouring quality labels, as the confusion matrix shows. For example, of the roads whose true label is "very good", 96% are predicted as "good" or "very good".

We hebben hieronder ook de "driving quality"-indicator vergeleken met de referentiemetingen. Dit analyseren we met een "confusion matrix", een standaardaanpak voor classificatieproblemen. De kwaliteit wordt voornamelijk voorspeld in naburige kwaliteitslabels, wat zichtbaar is in de confusion matrix. Bijvoorbeeld: van de wegen die als echt label "zeer goed" hebben, wordt 96% voorspeld als "goed" of "zeer goed".