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tfidf-ovr-logreg-model
dogancbn/tfidf-ovr-logreg-model
tfidf-ovr-logreg-model is a machine learning model from dogancbn. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains a classical machine learning model trained with TF-IDF features and One-vs-Rest Logistic Regression for multi-label mental health classification.
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Public
Updated Dec 17, 2025
Repo size
28.1 MB
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.joblib28.1 MB · 100%
At a glance
- Access
- Public
- Created
- Dec 17, 2025
- Updated
- Dec 17, 2025
- SHA
- b560e65d
Model card
From the Hugging Face model README
TF-IDF + One-vs-Rest Logistic Regression
This repository contains a classical machine learning model trained with TF-IDF features and One-vs-Rest Logistic Regression for multi-label mental health classification.
Model
- Feature extraction: TF-IDF (word + char)
- Classifier: One-vs-Rest Logistic Regression
- Framework: scikit-learn
Files
best_sklearn_no_fasttext.joblib: trained model
Usage
import joblib
model = joblib.load('best_sklearn_no_fasttext.joblib')
- Created
- Dec 17, 2025
- Updated
- Dec 17, 2025