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Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares

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arjunrajpal/ParameterTuning

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We apply two optimization algorithms - Differential Evolution and Simulated Annealing on two machine learning algorithms - Random Forest and CART to optmize their precision and f-score.

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Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares

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