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Distribution of the average variance and corresponding ranks per problem, broken down by noise level σ. The left value in each cell is the median, the right value the interquartile range. The right column are the values outlined in Figures 5 and 6.
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Symbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. While symbolic regression is capable to produce highly accurate models, small changes in the training data might cause highly dissimilar solution. The implications in practice are huge, as interpretability as key-selling feature degr...
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