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We explore the efficacy of using a novel activation function in ArtificialNeural Networks (ANN) in characterizing exoplanets into different classes. Wecall this Saha-Bora Activation Function (SBAF) as the motivation is derivedfrom long standing understanding of using advanced calculus in modelinghabitability score of Exoplanets. The function is demonstrated to possess niceanalytical properties and doesn't seem to suffer from local oscillationproblems. The manuscript presents the analytical properties of the activationfunction and the architecture implemented on the function. Keywords:Astroinformatics, Machine Learning, Exoplanets, ANN, Activation Function.

SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification