@inbook{2f8d89be8c974692a77b0c68be084781,
title = "Parametric Optimization of the Selected Classifiers in Binary Classification",
abstract = "The conception of classification is one of the major aspects in data processing. Conducted research present comparison of chosen classifiers{\textquoteright} results of classification for a few data sets. All data were chosen from these available on UCI Machine Learning Repository web site. During realization of research, the optimization process of the results of classification was made on the modifiable parameters for particular classifiers. In this work, gathered result of classification was presented as well as conclusion and possibility of future work.",
keywords = "Accuracy, Classification, Classifier, IBk, Logistic Base, Naive Bayes, Optimization, Parameter, SGD, SMO, UCI, Voted Perceptron, WEKA, Zero R",
author = "Daniel Kostrzewa and Robert Brzeski",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.",
year = "2017",
month = mar,
day = "1",
doi = "10.1007/978-3-319-56660-3\_6",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "59--69",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}