Naslov
Comprehensibility of classification trees – survey design

Autori
Piltaver, Rok ; Luštrek, Mitja ; Gams, Matjaž ; Martinčić–Ipšić, Sanda

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Intelligent Systems-IS 2014 (Volume A) / Piltaver, Rok ; Gams, Matjaž - Ljubljana : Institut Jožef Stefan, 2014, 70-74

Skup
Intelligent Systems 2014

Mjesto i datum
Ljubljana, Slovenija, 07.10.2014. - 08.10.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
classification tree; comprehensibility; survey

Sažetak
Comprehensibility is the decisive factor for application of classifiers in practice. However, most algorithms that learn comprehensible classifiers use classification model size as a metric that guides the search in the space of all possible classifiers instead of comprehensibility - which is ill-defined. Several surveys have shown that such simple complexity metrics do not correspond well to the comprehensibility of classification trees. This paper therefore suggests a classification tree comprehensibility survey in order to derive an exhaustive comprehensibility metrics better reflecting the human sense of classifier comprehensibility and obtain new insights about comprehensibility of classification trees.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA