Ensemble Classification : Example and Python Implementation

• Autorzy: Andziak Piotr , Figielska Ewa

Identyfikatory

DOI

10.26348/znwwsi.21.07

• Języki publikacji: EN

Abstrakty

EN

The paper presents an ensemble classification method based on clustering, along with its implementation in the Python programming language. An illustrative example showing the method behavior is provided, and the results of a computational experiment performed on real life data sets are reported.

Słowa kluczowe

EN

ensemble classification; clustering; python

• Wydawca: Warszawska Wyższa Szkoła Informatyki
• Czasopismo: Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
• Rocznik: 2019
• Tom: nr 21
• Strony: 7--22
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Andziak Piotr

• Warsaw School of Computer Science

autor

Figielska Ewa

• Warsaw School of Computer Science

Bibliografia

• [1] D. Faggella, What is Machine Learning, https://emerj.com/ai-glossaryterms/what-is-machine-learning/ [20 August 2019].
• [2] D.T. Larose, Discovering knowledge in data, New Jersey: John Wiley & Sons, Inc., 2005.
• [3] H. Xiao, Z. Xiao, Y. Wang, Ensemble classification based on supervised clustering for credit scoring, Applied Soft Computing 43, p. 73-86, 2016.
• [4] R. Gandhi, Support Vector Machine - Introduction to Machine Learning Algorithms, https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47 [20 August 2019].
• [5] S.I. Serengil, Chefboost, https://github.com/serengil/chefboost [20 August 2019].
• [6] Anaconda, https://www.anaconda.com/ [20 August 2019].
• [7] Scikit-learn, https://scikit-learn.org/ [20 August 2019].
• [8] V. Lohweg, Banknote Authentication Data Set, University of Applied Sciences, Ostwestfalen-Lippe, http://archive.ics.uci.edu/ml/datasets/banknote+authentication [20 August 2019].
• [9] H. Hofmann, German Credit Data Set, University of Hamburg, https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data) [20 August 2019].
• [10] T.-S. Lim, Haberman’s Survival Data Set, University of Chicago’s Billings Hospital, http://archive.ics.uci.edu/ml/datasets/Haberman%27s+Survival [20 August 2019].

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).