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Algorithm 1: Pseudo code for computing the AUC-PR based on the continuous interpolation.

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https://figshare.com/articles/dataset/_Algorithm_1_Pseudo_code_for_computing_the_AUC_PR_based_on_the_continuous_interpolation_/969327
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Initially, we choose the classification threshold such that the number of true positives is equal to the total number of positives. Then we iterate as long as the number of true positives – and, hence, recall – is greater than . We determine the new point by choosing the next existing score as classification threshold. Unless this threshold leads to an identical number of true positives, we compute the values of , , and as defined by equation (6), and set the borders of the integration. We use these values to compute the AUC between the current points and , and proceed with the while-loop. After termination of the loop, holds the AUC-PR.
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2014-03-20
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