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Fig. 4 | Journal of Big Data

Fig. 4

From: The role of classifiers and data complexity in learned Bloom filters: insights and recommendations

Fig. 4

False positive rates of LBF (first row), SLBF (second row), and ADA-BF (third row) attained on balanced synthetic datasets (cfr. “Datasets” section). On the horizontal axis, labels \(X\_Y\) denote the dataset obtained when using \(a = X\) and \(r=Y\). The blue dotted line corresponds to the empirical false positive rate of the classical BF in that setting. Two space budgets m are tested, ensuring that \(\epsilon = 0.05\) (left) and \(\epsilon = 0.01\) (right) for the classical BF. Legends shared across rows

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