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grade_prediction
DeltaSatellite1/grade_prediction
grade_prediction is a machine learning model from DeltaSatellite1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a regression model trained to predict grade scores.
Access
Public
Updated Sep 22, 2025
Repo size
7.6 MB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 17, 2025
- Updated
- Sep 22, 2025
- SHA
- 86bb6208
Model card
From the Hugging Face model README
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))
- License
- apache-2.0
- Languages
- en
- Created
- Sep 17, 2025
- Updated
- Sep 22, 2025