Upload 3 files

README.md

@@ -1,3 +1,32 @@
 ---
-license: mit
+tags:
+- nlp
+- regression
+- tfidf
+- ridge
+- summaries
+- kaggle
 ---
+
+# 🧠 CommonLit Summary Scoring Model
+
+This model was trained using the **CommonLit Evaluate Student Summaries** dataset on Kaggle.  
+It predicts two scores for student-written summaries:
+
+- `content` → Idea coverage quality  
+- `wording` → Clarity and phrasing quality
+
+Built with:
+- TF-IDF vectorizer
+- Ridge Regression (scikit-learn)
+- MultiOutputRegressor wrapper
+
+Example usage:
+```python
+from joblib import load
+
+model = load("ridge_model.pkl")
+tfidf = load("tfidf_vectorizer.pkl")
+summary = "This text discusses..."
+X = tfidf.transform([summary])
+pred = model.predict(X)

ridge_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7847461d512d3a8c63cc88709507420f6cc6648046249b57a53fd50286d2774c
+size 160856

tfidf_vectorizer.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cddd5f8a72d4fd3cab8a19bd7ff58a02bb1f7236d99c1417e156b9fcc9197bf
+size 373282