A Survey on Major Classification Algorithms and Comparative Analysis of Few Classification Algorithms on Contact Lenses Data Set Using Data Mining Tool

Autor:	Syed Nawaz Pasha, Dadi Ramesh, Mohammad Sallauddin
Rok vydání:	2020
Předmět:	Set (abstract data type) Data set Statistical classification Training set Mean squared error Computer science Classifier (linguistics) Decision tree Data mining computer.software_genre Focus (optics) computer
Zdroj:	New Trends in Computational Vision and Bio-inspired Computing ISBN: 9783030418618
Popis:	With the data being immensely distributed and the need to analyze the data, data mining has gained importance over the years. The data is analyzed to make some strategic decisions and to derive some patterns out of it. Classification algorithms are classical data mining models to excerpt knowledge from bulk amount of data. The focus of the work is on comparison of various decision tree classification algorithms using WEKA tool taking contact lenses dataset. The methods used for classifier comparison are accuracy, mean absolute error and root mean squared error. The outputs are captured using training data set and then compared to understand the accuracy of the classifiers.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a601f35f70e69f9883888acb6b855719 https://doi.org/10.1007/978-3-030-41862-5_121 Zobrazit plný text záznamu