Comprehensibility of Classification Trees – Survey Design Validation (CROSBI ID 617183)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Piltaver, Rok ; Luštrek, Mitja ; Gams, Matjaž ; Martinčić-Ipšić, Sanda
engleski
Comprehensibility of Classification Trees – Survey Design Validation
Classifier comprehensibility is a decisive factor for practical classifier applications ; however it is ill-defined and hence difficult to measure. Most algorithms use comprehensibility metrics based on classifier complexity – such as the number of leaves in a classification tree – despite evidence that they do not correspond to comprehensibility well. A classifier comprehensibility survey was therefore designed in order to derive exhaustive comprehensibility metrics better reflecting the human sense of classifier comprehensibility. This paper presents an implementation of a classification-tree comprehensibility survey based on the suggested design and empirically verifies the assumptions on which the survey design is based: the chosen respondent performance metrics measured while solving the chosen tasks can be used to indirectly but objectively measure the influence of chosen tree properties on their comprehensibility.
classification tree; comprehensibility; understandability; survey
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Podaci o prilogu
2014.
objavljeno
Podaci o matičnoj publikaciji
6th International Conference on Information Technologies and Information Society - ITIS2014
Boshkoska, Biljana Mileva ; Levnajić, Zoran
Šmarješke Toplice:
Podaci o skupu
6th International Conference on Information Technologies and Information Society (ITIS2014)
predavanje
05.11.2014-07.11.2014
Šmarješke toplice, Slovenija