Gradient boosting and random forests outperform neural networks and stochastic gradient descent at classifying interstellar object tracklets in simulated LSST data, with Digest2 scores as the dominant features.
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Machine Learning Methods for Automated Interstellar Object Classification with LSST
Gradient boosting and random forests outperform neural networks and stochastic gradient descent at classifying interstellar object tracklets in simulated LSST data, with Digest2 scores as the dominant features.