Machine Learning Pipeline for Pulsar Star Dataset

3 May 2020Alexander Ylnner Choquenaira FlorezBraulio Valentin Sanchez VincesDiana Carolina Roca ArroyoJosimar Edinson Chire SairePatrıcia Batista Franco

This work brings together some of the most common machine learning (ML) algorithms, and the objective is to make a comparison at the level of obtained results from a set of unbalanced data. This dataset is composed of almost 17 thousand observations made to astronomical objects to identify pulsars (HTRU2)... (read more)

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