Random Forest model classifies K2 stars into four categories with over 80% accuracy using effective temperature, luminosity, and FliPer features.
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Automatic classification of K2 pulsating stars using machine learning techniques
Random Forest model classifies K2 stars into four categories with over 80% accuracy using effective temperature, luminosity, and FliPer features.