Prediction Blocking Rules - Splink

Prediction Blocking Rules choose which record pairs from a dataset get considered and scored by the Splink model. The aim of Prediction Blocking Rules are to: Blocking Rules for Prediction are defined through blocking_rules_to_generate_predictions in the Settings dictionary of a model. For example: will generate comparisons for all true matches where names match. But it would miss a true match where there was a typo in (say) the first name. In general, it is usually impossible to find a single rule which both: Reduces the number of comparisons generated to a computationally tractable number Ensures comparisons are generated for all true matches This is why blocking_rules_to_generate_predictions is a list. Suppose we also block on postcode: This generates all pairwise comparisons that satisfy at least one of the rules. We will now generate a pairwise comparison for the record where there was a typo in the first name, so long as there isn't also a difference in the postcode. By specifyin

Prediction Blocking Rules choose which record pairs from a dataset get considered and scored by the Splink model. The aim of Prediction Blocking Rules are to: Blocking Rules for Prediction are defined through blocking_rules_to_generate_predictions in the Settings dictionary of a model. For example: will generate comparisons for all true matches where names match. But it would miss a true match where there was a typo in (say) the first name. In general, it is usually impossible to find a single rule which both: Reduces the number of comparisons generated to a computationally tractable number En