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Pregled bibliografske jedinice broj: 652058

Performance of machine learning methods in classification models with high-dimensional data


Zekić-Sušac, Marijana; Pfeifer, Sanja; Šarlija, Nataša
Performance of machine learning methods in classification models with high-dimensional data // Proceedings / Zadnik Stirn, Lidija ; Žerovnik, Janez ; Povh, Janez ; Drobne, Samo ; Lisec Anka (ur.).
Dolenjske Toplice: Slovenian Society Informatika, Section for Operational Research, 2013. str. 219-224 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Performance of machine learning methods in classification models with high-dimensional data

Autori
Zekić-Sušac, Marijana ; Pfeifer, Sanja ; Šarlija, Nataša

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

Izvornik
Proceedings / Zadnik Stirn, Lidija ; Žerovnik, Janez ; Povh, Janez ; Drobne, Samo ; Lisec Anka - Dolenjske Toplice : Slovenian Society Informatika, Section for Operational Research, 2013, 219-224

ISBN
978-961-6165-40-2

Skup
12th International Symposium on Operational Research

Mjesto i datum
Dolenjske Toplice, Slovenija, 25-27, 09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
machine learning; support vector machines; artificial neural networks; CART classification trees; k-nearest neighbour; large-dimensional data; cross-validation

Sažetak
The paper investigates the performance of four machine learning methods: artificial neural networks, classification trees, support vector machines, and k-nearest neighbour in classification type of problem by using a real dataset on entrepreneurial intentions of students. The aim is to find out which of the machine learning methods is more efficient in modelling high-dimensional data in the sense of the average classification rate obtained in a 10-fold cross-validation procedure. In addition, sensitivity and specificity is also observed. The results show that the accuracy of artificial neural networks is significantly higher than the accuracy of k-nearest neighbour, but the difference among other methods is not statistically significant.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Projekti:
010-0101195-0872 - Transformacija poduzetničkog potencijala u poduzetničko ponašanje (Pfeifer, Sanja, MZOS ) ( POIROT)
010-0101195-1048 - Modeli za ocjenu rizičnosti poslovanja poduzeća (Šarlija, Nataša, MZOS ) ( POIROT)

Ustanove:
Ekonomski fakultet, Osijek


Citiraj ovu publikaciju:

Zekić-Sušac, Marijana; Pfeifer, Sanja; Šarlija, Nataša
Performance of machine learning methods in classification models with high-dimensional data // Proceedings / Zadnik Stirn, Lidija ; Žerovnik, Janez ; Povh, Janez ; Drobne, Samo ; Lisec Anka (ur.).
Dolenjske Toplice: Slovenian Society Informatika, Section for Operational Research, 2013. str. 219-224 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Zekić-Sušac, M., Pfeifer, S. & Šarlija, N. (2013) Performance of machine learning methods in classification models with high-dimensional data. U: Zadnik Stirn, L., Žerovnik, J., Povh, J., Drobne, S. & Lisec Anka (ur.)Proceedings.
@article{article, year = {2013}, pages = {219-224}, keywords = {machine learning, support vector machines, artificial neural networks, CART classification trees, k-nearest neighbour, large-dimensional data, cross-validation}, isbn = {978-961-6165-40-2}, title = {Performance of machine learning methods in classification models with high-dimensional data}, keyword = {machine learning, support vector machines, artificial neural networks, CART classification trees, k-nearest neighbour, large-dimensional data, cross-validation}, publisher = {Slovenian Society Informatika, Section for Operational Research}, publisherplace = {Dolenjske Toplice, Slovenija} }
@article{article, year = {2013}, pages = {219-224}, keywords = {machine learning, support vector machines, artificial neural networks, CART classification trees, k-nearest neighbour, large-dimensional data, cross-validation}, isbn = {978-961-6165-40-2}, title = {Performance of machine learning methods in classification models with high-dimensional data}, keyword = {machine learning, support vector machines, artificial neural networks, CART classification trees, k-nearest neighbour, large-dimensional data, cross-validation}, publisher = {Slovenian Society Informatika, Section for Operational Research}, publisherplace = {Dolenjske Toplice, Slovenija} }




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