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. Author manuscript; available in PMC: 2019 Nov 27.
Published in final edited form as: Proc ACM SIGMOD Int Conf Manag Data. 2019 Jun-Jul;2019:362–375. doi: 10.1145/3299869.3314036

Table 3:

An ablation study of Snorkel DryBell using only labeling functions that depend on servable features (“Servable LFs”) compared with all labeling functions, including non-servable resources. All scores are normalized to the precision, recall, and F1 of the logistic regression classifier trained directly on the development set. Lift is reported relative to Servable LFs.

Relative: P R F1 Lift
Topic Classification
Servable LFs 50.9% 159.2% 86.1%
+ Non-Servable LFs 100.6% 132.1% 117.5% +36.4%
Product Classification
Servable LFs 38.0% 119.2% 62.5%
+ Non-Servable LFs 99.2% 110.1% 105.2% +68.2%