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Title: Predicción de errores en producción industrial de piezas mediante clasificación supervisada con desbalanceo de clases
Author: López Portillo, José Ahias
Tutor: Hernández-González, Jerónimo  
Others: Casas-Roma, Jordi  
Abstract: The objective of this work is to implement an automatic learning algorithm that allows the best classification on the set of information data collected by different sensors of the Bosch factory. The constant data set of a file with 980 dimensions and one million observations with a dichotomous classification. When carrying out different investigations of solutions for the processing of unbalanced data sets, 26 experiments with 2 sets of data of different sizes were implemented obtaining the best result with techniques of resampling and random forests.
Keywords: algorithms
machine learning
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 9-Jun-2019
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Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

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