| ---
|
| language:
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| - es
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| license: apache-2.0
|
| datasets:
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| - hsilvosa/openplacsp
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| library_name: sklearn
|
| pipeline_tag: text-classification
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| tags:
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| - public-procurement
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| - cpv
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| - multilabel-classification
|
| ---
|
|
|
| # Multilabel CPV division classifier for Spanish public procurement
|
|
|
| A lightweight model that suggests CPV divisions from a procurement notice title, project
|
| name, and summary. It combines word- and character-level TF-IDF features with 45 linear
|
| logistic classifiers. Version 2 calibrates probabilities and learns a separate decision
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| threshold for each division.
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|
|
| It was trained from the
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| [hsilvosa/openplacsp](https://huggingface.co/datasets/hsilvosa/openplacsp).
|
|
|
| ## Temporal evaluation
|
|
|
| Training uses notices published through 2022. The year 2023 is reserved for calibration
|
| and threshold selection, while 2024 remains a held-out test set.
|
|
|
| | 2024 test metric | Base model | Version 2 |
|
| |---|---:|---:|
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| | Recall@3 | 0.9140 | 0.9214 |
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| | Micro-F1 | 0.5808 | 0.7276 |
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| | Macro-F1 | 0.4803 | 0.6180 |
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| | Brier score (lower is better) | 0.0277 | 0.0105 |
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| | Non-empty multilabel coverage | 0.9933 | 0.8897 |
|
|
|
| The model was trained on 606,309 notices with fixed seed
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| 20260817. Per-division metrics and checksums are available in `metrics.json`.
|
|
|
| ## Usage
|
|
|
| ```python
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| from inference import CPVDivisionClassifier
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|
|
| model = CPVDivisionClassifier("model.joblib")
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| print(model.predict(["Mantenimiento y desarrollo de aplicaciones municipales"]))
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| ```
|
|
|
| The optional skops export is unavailable; see `safe_export_error` in metrics.json.
|
|
|
| ## Limitations
|
|
|
| The model learns from Spanish administrative text published on the national public
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| procurement platform through December 2024. It does not replace the legally assigned CPV
|
| classification. Rare divisions carry greater uncertainty. It must not be used to infer
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| fraud, illegality, or responsibility.
|
|
|
