grade_prediction / README.md
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metadata
language: en
license: apache-2.0
tags:
  - tabular
  - regression
  - autogluon
metrics:
  - rmse

AutoGluon Tabular Model

This is a regression model trained to predict grade scores.

Usage

from autogluon.tabular import TabularPredictor
from huggingface_hub import snapshot_download
import pandas as pd

model_dir = snapshot_download(repo_id="DeltaSatellite1/grade_prediction")
predictor = TabularPredictor.load(model_dir)

# Example DataFrame
df = pd.DataFrame([{
    "weighted gpa":3.6,
    "term gpa":3.5,
    "class grade": 90,
    "assigned date":"9/22/2025",
    "due date":"9/29/2025",
    "field":"Math",
    "field average (%)": 90,
    "category":"Test",
    "category weight":0.7,
    "category average":90,
    "daily hours available":9,
    "days before due":9,
    "difficulty":"High",
    "field proficiency":"High",
    "teacher experience": "High",
    "work day positivity": "High",
    "incentive":"High",
    "confidence":"High",
    "attendence":"High",
    "participation":"High",
    "procrastination": "high"
}])

# Example prediction
print(predictor.predict(df))