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This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 records.

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RohitG57/Estimation-of-obesity-levels-based-on-eating-habits-and-physical-condition

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Data Source : (https://archive.ics.uci.edu/ml/datasets/Estimation+of+obesity+levels+based+on+eating+habits+and+physical+condition+)

Atribute Information

The attributes related with eating habits are:

Frequent consumption of high caloric food (FAVC) Frequency of consumption of vegetables(FCVC) Number of main meals (NCP) Consumption of food between meals (CAEC) Consumption of water daily (CH20) Consumption of alcohol (CALC)

The attributes related with the physical condition are:

Calories consumption monitoring (SCC) Physical activity frequency (FAF) Time using technology devices (TUE) Transportation used (MTRANS)

Other variables obtained were:

Gender Age Height Weight Family history with overweight SMOKE

NObesity (Target variable) was created with the values of: Insufficient Weight, Normal Weight, Overweight Level I, Overweight Level II, Obesity Type I, Obesity Type II and Obesity Type III

Problem Statement:

In this dataset we have to predict the the target catgory of a person from NObesity column while taking into consideration attributes related with eating habits and physical condition.

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This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 records.

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