Otwarty dostęp

Assessment of the Influence of Dependent Variable Distribution on Selected Goodness of Fit Measures Using the Example of Customer Churn Model


Zacytuj

Berrar D., 2019, Performance Measures for Binary Classification, Encyclopedia of Bioinformatics and Computational Biology, vol. 1, 546-560.10.1016/B978-0-12-809633-8.20351-8Search in Google Scholar

Boughorbel S., Jarray F., El-Anbari M., 2017, Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric, PloS one 12.6.10.1371/journal.pone.0177678Search in Google Scholar

Ferri C., Hernández-Orallo J., Modroiu R., 2009, An experimental comparison of performance measures for classification, Pattern Recognition Letters, 30.1, 27-38.10.1016/j.patrec.2008.08.010Search in Google Scholar

Géron A., 2017, Hands-On Machine Learning with Scikit-Learn & TensorFlow, O’Relly Sebastopol.Search in Google Scholar

Krzanowski W., Hand D., 2009, ROC Curves for Continuous Data, Chapman & Hall/CRC.10.1201/9781439800225Search in Google Scholar

Kuhn M., Johnson K., 2013, Applied Predictive Modelling, Springer, New York.10.1007/978-1-4614-6849-3Search in Google Scholar

Łapczyński M., 2016, Hybrydowe modele predykcyjne w marketingu relacji, Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie, Kraków.Search in Google Scholar

Matthews B.W., 1975, Comparison of the predicted and observed secondary structure of T4 phage lysozyme, Biochimica et Biophysica Acta (BBA)-Protein Structure 405.2, 442-451.10.1016/0005-2795(75)90109-9Search in Google Scholar

Migut G., Jakubowski J., Stout D., 2013, Developing Scorecards Using STATISTICA Scorecard, Stat-Soft Polska/StatSoft Inc., Kraków/Tulsa.Search in Google Scholar

Powers D.M., 2011, Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation, Journal of Machine Learning Technologies, 2:1, 37-63.Search in Google Scholar

Powers D.M., 2012, The problem of Kappa, Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, 345-355, Avignon.Search in Google Scholar

Sokolova M., Japkowicz N., Szpakowicz S., 2006, Beyond accuracy, F-score and ROC: a family of discriminant measures for performance evaluation, Australasian joint conference on artificial intelligence. Springer, Berlin, Heidelberg.10.1007/11941439_114Search in Google Scholar

Tharwat A., 2018, Classification assessment methods, Applied Computing and Informatics.Search in Google Scholar

Youden W.J., 1950, Index for rating diagnostic tests, Cancer, 3.1, 32-35.10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3Search in Google Scholar

eISSN:
2449-9994
Język:
Angielski