3 papers
cs.LG2018
On the Calibration of Nested Dichotomies for Large Multiclass Tasks
Tim Leathart, Eibe Frank, Bernhard Pfahringer +1
Nested dichotomies are used as a method of transforming a multiclass classification problem into a series of binary problems. A tree structure is induced that recursively splits th…
cs.LG2018
Probability Calibration Trees
Tim Leathart, Eibe Frank, Geoffrey Holmes +1
Obtaining accurate and well calibrated probability estimates from classifiers is useful in many applications, for example, when minimising the expected cost of classifications. Exi…
cs.LG2018
Ensembles of Nested Dichotomies with Multiple Subset Evaluation
Tim Leathart, Eibe Frank, Bernhard Pfahringer +1
A system of nested dichotomies is a method of decomposing a multi-class problem into a collection of binary problems. Such a system recursively applies binary splits to divide the…