32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
# Model Information
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## Overview
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The Test Score Predictor uses a Linear Regression machine learning model trained to predict test scores based on the number of hours studied.
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## Model Details
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- **Model Type**: Linear Regression
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- **Features Used**:
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- Hours_Studied: Number of hours a student studied
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- **Output**: Predicted test score
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- **Model File**: `linear_regression_model.pkl`
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- **Scaler File**: `scaler.pkl`
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## Dataset
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The model was trained on a dataset containing information about students' study hours and their corresponding test scores.
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## Model Performance
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The model demonstrates a strong correlation between hours studied and test scores, with typical metrics showing:
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- R² score: ~0.95
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- Mean Absolute Error: ~2-3 points
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## Limitations
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- The model assumes a linear relationship between study hours and test scores
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- The model may not account for other factors that influence test performance (quality of study, prior knowledge, etc.)
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- Predictions for very low or very high study hours may be less reliable
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- The model is intended for educational purposes and should not be used for critical decision-making
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