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commonlit-summary-model – AI Model by handecarkci | AlphaNeural AI

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handecarkci/
commonlit-summary-model

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🧠 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)