Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Statistics, Computer Sciences

Publication Details

DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics, Barcelona, Spain from October 3, 2021 to October 7, 2021.

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.

DOI

https://doi.org/10.21427/3rjd-wz37

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