Sampled pixels can be displayed for accuracy inspection. After classifying the data base the classification errors are visible in the display. User can eventually correct sampling if errors are visible, and evaluate classifier accuracy by the number of misclassified pixels.
Note the classification errors in the green husk color class: some pixels are assigned to the white husk color class. Otherwise, there are no errors to report for this particular classification algorithm and this data base.