Upload README.md with huggingface_hub

README.md

@@ -1,30 +1,10 @@
-# Grade Predictor (Regression)
+# Assignment Predictor (Regression)
+Trained from DetectiveShadow/Grade_Data
 
-Trained from dataset: **DetectiveShadow/Grade_Data**
+Best model: LinearRegression
+Metrics: R2=0.682, RMSE=3.19, MAE=2.36
 
-**Best model:** RandomForestRegressor
-**Metrics:** R² = 0.136 • RMSE = 10.07 • MAE = 7.96
-
-## Expected Features
-- Numeric: ['grade_level', 'attendance', 'hours_studied', 'quizzes_avg', 'confidence']
-- Categorical: ['subject', 'course_difficulty', 'group_or_solo']
-- Target: final_grade
-
-## Quick Start
-```python
-from huggingface_hub import hf_hub_download
-import joblib, pandas as pd
-
-pipe = joblib.load(hf_hub_download("DetectiveShadow/Grade_predictor", "grade_predictor.pkl"))
-sample = pd.DataFrame([{
-    "attendance": 0.95,
-    "hours_studied": 12,
-    "quizzes_avg": 85,
-    "confidence": 7,
-    "grade_level": 11,
-    "subject": "Math",
-    "course_difficulty": "Honors",
-    "group_or_solo": "Solo"
-}])
-print("Predicted final grade:", pipe.predict(sample)[0])
-```
+Expected features:
+- Numeric: ['grade_level', 'attendance', 'hours_studied', 'confidence_before_assessment']
+- Categorical: ['subject', 'course_difficulty', 'assignment_type']
+Target: assignment_scores