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http://hdl.handle.net/10609/98826
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 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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jahiasTFM0619memoria.pdf | Memoria del TFM | 1,4 MB | Adobe PDF | View/Open |
jahiasTFM0619presentación.pdf | Presentación del TFM | 467,29 kB | Adobe PDF | View/Open |
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