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Details van artikel 21 van 127 gevonden artikelen
| Titel: |
A Novel Algorithm for Scaling up the Accuracy of Decision Trees |
| Auteur: |
Ali Mirza Mahmood K.Mrutunjaya Rao Kiran Kumar Reddi |
| Verschenen in: |
International journal on computer science and engineering |
| Paginering: | Jaargang 2 (2010) nr. 2 pagina's 126-131 |
| Jaar: |
2010 |
| Inhoud: |
Classification is one of the most efficient and widely used data mining technique. In classification, Decision trees can handle high dimensional data, and their representation is intuitive and generally easy to assimilate by humans. The area under the receiver operating characteristic curve, AUC is one of the recently used measures for calculating the performance of a classifier.In this paper, we presented two novel decision tree algorithms namely C4.45 and C4.55, aimed to improve the AUC value over the C4.5, which is a state-of-the-art decision tree algorithm. The empirical experiments conducted on 42 benchmark datasets have strongly indicated that C4.45 and C4.55 has significantly outperformed C4.5 on the AUC value. |
| Uitgever: |
Engg Journals Publications (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 21 van 127 gevonden artikelen
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