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README.md
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# Facial Stress Prediction Model 🧠
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## Model Description
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---
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language:
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- en
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license: mit
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library_name: xgboost
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tags:
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- facial-analysis
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- stress-prediction
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- mental-health
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- xgboost
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- mediapipe
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- computer-vision
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- affective-computing
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- regression
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datasets:
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- FER-2013
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metrics:
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- mae
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- rmse
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model-index:
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- name: facial-stress-predictor
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results:
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- task:
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type: image-regression
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name: Facial Stress Level Prediction
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dataset:
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name: FER-2013
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type: fer2013
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metrics:
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- type: mae
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value: XX.XX # Update with actual value
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name: Mean Absolute Error
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- type: rmse
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value: XX.XX # Update with actual value
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name: Root Mean Squared Error
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- type: accuracy
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value: XX.XX # Update with actual value
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name: Approximate Accuracy
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pipeline_tag: image-feature-extraction
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---
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# Facial Stress Prediction Model 🧠
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## Model Description
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