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Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Ulmer-Moll, S.'

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[ascl:2505.009] BEM: Random forest for exoplanets

BEM predicts the radius of exoplanets based on their planetary and stellar parameters. The code uses the random forests machine learning algorithm to derive reliable radii, especially for planets between 4 R⊕ and 20 R⊕ for which the error is under 25%. BEM computes error bars for the radius predictions and can also create diagnostic plots.