The analysis and configurations you've described for deduplication of the UK schools dataset provide valuable insights into how different approaches can yield varying results in terms of both accuracy and efficiency. Here's a summary and some additional context based on your findings:
Configurations and Results
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Simple Configuration:
- Blocking: Exact postcode matches.
- Fuzzy Matching: Fuzzy matching on school names.
- Clusters Found: 13,788 clusters.
- Records in Clusters: 34,021 records.
- Time Taken: 158 seconds.
This configuration is straightforward and efficient but may include false positives where different schools share the same postcode. It's a good starting point for initial deduplication efforts.
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Weighted Configuration with Multi-Pass Blocking and LLM Scorer:
- Blocking: Multi-pass blocking (postcode + soundex).
- Fuzzy Matching: Weighted scoring based on multiple fields.
- LLM Scorer: Used to adjudicate borderline pairs.
- Clusters Found: 3,475 clusters.
- Records in Clusters: 47,8
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Ali NematiWritten by Ali
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