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Table 3 Space occupancy in Kbits of selected classifiers on the considered datasets

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

SVM

DT

RF-10

RF-20

NN-25

NN-150,50

NN-200,75

Synthetic Data

5

30.9

259.3

508.6

5.1

260.2

506.6

SVM

DT

RF-10

RF-20

NN-7

NN-150,35

NN-175,70

URL Data

5.9

31

259.3

508.7

6.2

259.2

499.9

SVM

DT

RF-10

RF-100

NN-7

NN-125,50

NN-500,150

DNA Data

5.8

30.9

259.5

2504

5.6

265.8

2652.3

  1. The acronyms for all classifiers refer to the notation introduced in “The considered classifiers” section