Identifying Exoplanets with Machine Learning Methods: A Preliminary Study

no code implementations • 1 Apr 2022 • Yucheng Jin, Lanyi Yang, Chia-En Chiang

We used the Kepler dataset collected by NASA from the Kepler Space Observatory to conduct supervised learning, which predicts the existence of exoplanet candidates as a three-categorical classification task, using decision tree, random forest, na\"ive Bayes, and neural network; we used another NASA dataset consisted of the confirmed exoplanets data to conduct unsupervised learning, which divides the confirmed exoplanets into different clusters, using k-means clustering.

Astronomy BIG-bench Machine Learning