Synthetic Calories Burnt Prediction Dataset

Dataset Features

• User_ID: Unique identifier assigned to each user.
• Gender: Biological sex of the individual (Male/Female/Other).
• Age: Age of the individual (in years).
• Height: Height of the individual (in centimetres).
• Weight: Weight of the individual (in kilograms).
• Duration: Duration of physical activity session (in minutes).
• Heart_Rate: Average heart rate recorded during the session (in beats per minute).
• Body_Temp: Average body temperature during the session (in degrees Celsius).
• Calories: Total number of calories burned during the session.

Distribution

Usage

• Health & Fitness Analytics: Analyse how biometric and exercise data impact calorie burn.
• Predictive Modeling: Build machine learning models to estimate calorie expenditure.
• Physiological Research: Study correlations among age, weight, heart rate, and calorie burn.
• Educational Use: Offer hands-on experience for students learning data analysis, regression models, and health-related machine learning.

Coverage

License

Who Can Use It

• Health and Fitness Researchers: To explore biometric predictors of calorie burn.
• Data Scientists and ML Engineers: To develop and evaluate predictive health models.
• Educators and Students: For learning and teaching health analytics, feature engineering, and regression analysis.