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Authors:
Alan Cueva Mora
Brendan Tierney
Keywords: feature engineering; language identification; feature selection; hyperparameter optimization; cross-validation.
Abstract:
Research in Featuring Engineering has been part of the data pre-processing phase of machine learning projects for many years. It can be challenging for new people working with machine learning to understand its importance along with various approaches to find an optimized model. This work uses the Spotify Song Popularity dataset to compare and evaluate Feature Engineering, Feature Selection and Hyperparameter Optimization. The result of this work will demonstrate Feature Engineering has a greater effect on model efficiency when compared to the alternative approaches.
Pages: 70 to 73
Copyright: Copyright (c) IARIA, 2021
Publication date: October 3, 2021
Published in: conference
ISSN: 2308-4464
ISBN: 978-1-61208-891-4
Location: Barcelona, Spain
Dates: from October 3, 2021 to October 7, 2021