Abstract
Cross validation allows to evaluate the accuracy of the classification algorithms with low error, but has the problem of computational cost versus large volumes of data. In this work, the serial and parallel implementation of leave-one-out and k-fold cross validation techniques is performed using the R software environment. A comparison between the precision and error results obtained with cross validation techniques is presented, as well as the execution time thereof, reducing in the parallel implementation.
Translated title of the contribution | Evaluation of classification algorithms using cross validation |
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Original language | Spanish |
Title of host publication | 17th LACCEI International Multi-Conference for Engineering, Education, and Technology |
Subtitle of host publication | "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019 |
Publisher | Latin American and Caribbean Consortium of Engineering Institutions |
ISBN (Electronic) | 9780999344361 |
DOIs | |
State | Published - 2019 |
Event | 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019 - Montego Bay, Jamaica Duration: 24 Jul 2019 → 26 Jul 2019 |
Publication series
Name | Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
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Volume | 2019-July |
ISSN (Electronic) | 2414-6390 |
Conference
Conference | 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019 |
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Country/Territory | Jamaica |
City | Montego Bay |
Period | 24/07/19 → 26/07/19 |
Bibliographical note
Funding Information:Se aplicó esta técnica de validación cruzada de K iteraciones para copm arar los resultados de precisión y error de las técnicas de clasificación , así coom tiempos de ejecución . Se utilizaron cinco grupos, por lo que un grupo del total de datos se utilizó para la tabla de pruebas y los cuatro grupos restantes para la tabla de entrenamiento.
Publisher Copyright:
© 2019 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.