Prediction of Corrosion of Oil Pipelines in Ecuador based on Machine Learning

Conference Object

Abstract: The corrosion in oil pipelines not only causes economic losses to Ecuador, but also has harmful effe

Palabras claves:

accuracy, Feature engineering, Hyperparameter tuning, Machine learning, oil pipeline, random forest

Autores:

Henry Paz-Arias, Kléver Mera

Fuentes:

scopus