Zobrazeno 1 - 4 of 4 pro vyhledávání: '"Sınıflandırma Doğruluğu"'
1
Akademický článek
Testing The Performance of Random Forest and Support Vector Machine Algorithms for Predicting Cyclist Casualty Severity
Autor: Nurten Akgün
Publikováno v: Firat University Journal of Experimental and Computational Engineering, Vol 2, Iss 3, Pp 124-133 (2023)
Traditional statistical regression models for predicting casualty severity have fundamental limitations. Machine learning algorithms for classifications have started to be applied in severity analysis in order to relax the assumptions and provide bet
Externí odkaz: https://doaj.org/article/374e9817a3e64c59a795c80ecb2a588e
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2
Comparison of the classification performances of the dimensionality reduction techniques
Autor: Erbayram, Tenzile
Yüksek Lisans Tezi
Bu çalışmada boyut indirgeme tekniklerinin sınıflandırma performansları karşılaştırılmıştır. Boyut indirgeme teknikleri özellik seçimi ve özellik çıkarma olmak üzere iki kategoride incelenmiştir. Çalı
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9479::481ce685bf9d95fe57b2e43ed524638c
https://hdl.handle.net/20.500.12452/6681
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3
Bireyselleştirilmiş çok aşamalı testlerin test birleştirme yöntemlerine göre incelenmesi
Autor: Doğruöz, Ebru
In this research, the performance of top-down and bottom-up test assembly methods were compared according to the sample size, panel design and module length of the Adaptive Multistage Tests (MST). MSTs formed according to the both test assembly metho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7824dd76cfc3bd2118631a8741bdcc87
https://acikbilim.yok.gov.tr/handle/20.500.12812/434433
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