Napredna pretraga

Pregled bibliografske jedinice broj: 728616

Comprehensibility of Classification Trees – Survey Design Validation


Piltaver, Rok; Luštrek, Mitja; Gams, Matjaž; Martinčić-Ipšić, Sanda
Comprehensibility of Classification Trees – Survey Design Validation // 6th International Conference on Information Technologies and Information Society - ITIS2014 / Boshkoska, Biljana Mileva ; Levnajić, Zoran (ur.).
Šmarješke toplice, Slovenija, 2014. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Comprehensibility of Classification Trees – Survey Design Validation

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
6th International Conference on Information Technologies and Information Society - ITIS2014 / Boshkoska, Biljana Mileva ; Levnajić, Zoran - Šmarješke toplice, Slovenija, 2014

Skup
6th International Conference on Information Technologies and Information Society - ITIS2014

Mjesto i datum
Šmarješke toplice, Slovenija, 6-7.11.20014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Classification tree; comprehensibility; understandability; survey

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Sveučilište u Rijeci - Odjel za informatiku

Autor s matičnim brojem:
Sanda Martinčić-Ipšić, (250193)