# [CSED226-01] HW7-Regression — Data

来源：https://www.kaggle.com/competitions/csed226-01-hw7-regression/data

采集时间：2026-10-20T06:37:57Z

## **[Data Set Information]**

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, the records are labeled with the class variable NObesity (Obesity Level), that allows classification of the data using the values of Insufficient Weight, Normal Weight, Overweight Level I, Overweight Level II, Obesity Type I, Obesity Type II and Obesity Type III. 77% of the data was generated synthetically using the Weka tool and the SMOTE filter, 23% of the data was collected directly from users through a web platform.


## **[Attributes]**

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)
Attributes related with the physical condition are:
- Calories consumption monitoring (SCC)
- Physical activity frequency (FAF)
- Time using technology devices (TUE)
- Transportation used (MTRANS)
Other attributes:
- Gender
-  Age
-  Height
-  SMOKE
- NObeyesdad
- Family_history_with_overweight
-  Weight(our target)