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| # ML Challenge 2026: Business Entity Resolution Solution Template | |
| **Team Name:** [Your Team Name] | |
| **Team Members:** [List all team members] | |
| **Submission Date:** [Date] | |
| --- | |
| ## 1. Executive Summary | |
| *Provide a brief 2-3 sentence overview of your approach and key innovations.* | |
| --- | |
| ## 2. Methodology | |
| ### 2.1 Problem Analysis | |
| *Key insights discovered during EDA — noise patterns, address variations, missing fields, etc.* | |
| ### 2.2 Solution Strategy | |
| *Outline your high-level approach.* | |
| **Approach Type:** [Blocking + Classifier / End-to-End / Graph-Based / Hybrid, etc] | |
| **Core Innovation:** [Brief description of your main technical contribution] | |
| --- | |
| ## 3. Candidate Generation (Blocking) | |
| *Describe how you reduced the comparison space to a manageable candidate set.* | |
| - **Blocking keys used:** [e.g., PIN code, phonetic name encoding, TF-IDF, etc.] | |
| - **Candidate pairs generated:** [total] | |
| - **How you ensured true matches were not lost:** | |
| --- | |
| ## 4. Matching Model | |
| **Features used:** | |
| - Name features: [e.g., Jaccard, Levenshtein, phonetic encoding] | |
| - Address features: [e.g., token overlap, edit distance, PIN code matching] | |
| - Other: [] | |
| **Model type:** [e.g., XGBoost, Siamese Network, Transformer, etc.] | |
| **Threshold selection method:** [e.g., F_0.5 optimization on validation set] | |
| --- | |
| ## 5. Results & Error Analysis | |
| - **F_0.5 Score (macro):** [your best validation score] | |
| - **Common false positives (wrong merges):** [brief description] | |
| - **Common false negatives (missed matches):** [brief description] | |
| --- | |
| ## 6. Conclusion | |
| *Summarize your approach, key achievements, and lessons learned in 2-3 sentences.* | |
| --- | |
| ## Appendix | |
| ### A. Code Artefacts | |
| *Your complete, runnable code ships in the submission zip under | |
| `code/business_entity_resolution/` (all source in `src/`, with a `README.md` and | |
| `requirements.txt`). Summarise its structure and the entry point(s) to reproduce | |
| `output/matching_results.tsv` and `output/candidate_pairs.tsv` here.* | |
| ### B. Additional Results | |
| *Include any additional charts, graphs, or detailed results.* | |
| --- | |
| **Note:** Teams can modify sections according to their approach while maintaining clarity and technical depth. | |