Obesity Risk Prediction (Multi-Model)
Select a machine learning model and enter patient details to predict the obesity risk category.
Select Model
Gender
Age
↺
1
100
Height (m)
↺
1
2.2
Weight (kg)
↺
30
200
Family History with Overweight
yes
no
Frequent consumption of high caloric food (FAVC)
yes
no
Frequency of consumption of vegetables (FCVC)
↺
1
3
Number of main meals (NCP)
↺
1
4
Consumption of food between meals (CAEC)
SMOKE
yes
no
Consumption of water daily (CH2O)
↺
1
3
Calories consumption monitoring (SCC)
yes
no
Physical activity frequency (FAF)
↺
0
3
Time using technology devices (TUE)
↺
0
2
Consumption of alcohol (CALC)
Transportation used (MTRANS)
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Obesity Risk Prediction Result
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Examples
Select Model
Gender
Age
Height (m)
Weight (kg)
Family History with Overweight
Frequent consumption of high caloric food (FAVC)
Frequency of consumption of vegetables (FCVC)
Number of main meals (NCP)
Consumption of food between meals (CAEC)
SMOKE
Consumption of water daily (CH2O)
Calories consumption monitoring (SCC)
Physical activity frequency (FAF)
Time using technology devices (TUE)
Consumption of alcohol (CALC)
Transportation used (MTRANS)