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website-technology-evidence-classifier
newazhala/website-technology-evidence-classifier
website-technology-evidence-classifier is a text classification model from newazhala. Use it when you need a label for a piece of text. It is set up for scikit-learn. The card lists the license as mit.
A scikit-learn text classifier trained on the companion Website Technology Evidence Dataset.
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Public
Updated Aug 30, 2026
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1.6 MB
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.pkl1.6 MB · 100%
At a glance
- Task
- Text Classification
- Library
- scikit-learn
- License
- mit
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026
- SHA
- bba7f19e
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Model card
From the Hugging Face model README
Website Technology Evidence Classifier
A scikit-learn text classifier trained on the companion Website Technology Evidence Dataset.
Method
A FeatureUnion combines word-level TF-IDF (unigrams/bigrams) and character-level TF-IDF (3–5 grams), followed by Logistic Regression.
The character features improve tolerance for URLs, paths, version strings and small formatting differences.
Evaluation
See metrics.json.
Important: the companion dataset is synthetic and fingerprint-driven. Evaluation scores measure performance on this controlled benchmark and must not be presented as accuracy on arbitrary real-world websites.
Output
inference.py returns the top five predicted technologies with confidence scores.
Related project
Website Technology Detector — AzkiWeb
https://azkiweb.com/
https://azkiweb.com/website-design-price
MIT License.
- Task
- Text Classification
- Library
- scikit-learn
- License
- mit
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026