Human Body Level Classification

• predicting body types based of demographic and habits features

Quick Statistics

• 1477 data samples.
• 16 attributes (+1 for classes).
• 4 output classes.

Attributes Description

• Gender: Male or female.
• Age: Numeric value.
• Height: Numeric value (in meters).
• Weight: Numeric value (in kilograms).
• Fam_Hist: Does the family have a history with obesity?
• H_Cal_Consump: High caloric food consumption.
• Veg_Consump: Frequency of vegetables consumption.
• Meal_Count: Average number of meals per day.
• Food_Between_Meals: Frequency of eating between meals.
• Smoking: Is the person smoking?
• Water_Consump: Frequency of water consumption.
• H_Cal_Burn: Does the body have high calories burn rate?
• Phys_Act: How often does the person do physical activities?
• Time_E_Dev: How much time does person spend on electronic devices.
• Alcohol_Consump: Frequency of alcohols consumption.
• Transport: Which transports does the person usually use?
• Body_Level: Class of human body level.