This page analyses how well our machine learning-based identifier did on our testing and training sets. The testing set is a collection of Hebeloma collections for which we have identified a species by expert and/or genetic analysis. The testing set however was not used to "train" the identifier in how to recognise members of a section. This set can be used therefore to test determine whether the identifier is working well.

The chart below gives an overview of the success of each identifier. For any given collection, the identifier ranks, in order of likelihood from highest to lowest, the chances of that collection being of a given section. The nth point on the charts shows the proportion of collections where the actual section was in the top N "guesses" made by the identifier.

Choose a particular classifier to drill-down into detailed results:

  • arrow_drop_downarrow_drop_upResults for testing set