no code implementations • 7 Feb 2020 • Tim Leathart, Maksymilian Polaczuk
In many applications, accurate class probability estimates are required, but many types of models produce poor quality probability estimates despite achieving acceptable classification accuracy.
no code implementations • 8 Sep 2018 • Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
A system of nested dichotomies is a method of decomposing a multi-class problem into a collection of binary problems.
no code implementations • 8 Sep 2018 • Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Nested dichotomies are used as a method of transforming a multiclass classification problem into a series of binary problems.
no code implementations • 31 Jul 2018 • Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Obtaining accurate and well calibrated probability estimates from classifiers is useful in many applications, for example, when minimising the expected cost of classifications.
no code implementations • 7 Apr 2016 • Tim Leathart, Bernhard Pfahringer, Eibe Frank
A system of nested dichotomies is a method of decomposing a multi-class problem into a collection of binary problems.