Datasets:

Steffen-H-S
/

Obesity_level

Gender stringclasses 2 values	Age float64 14 61	Height float64 1.45 1.98	Weight float64 39 173	family_history_with_overweight stringclasses 2 values	FAVC stringclasses 2 values	FCVC float64 1 3	NCP float64 1 4	CAEC stringclasses 4 values	SMOKE stringclasses 2 values	CH2O float64 1 3	SCC stringclasses 2 values	FAF float64 0 3	TUE float64 0 2	CALC stringclasses 4 values	MTRANS stringclasses 5 values	NObeyesdad stringclasses 7 values
Female	21	1.62	64	yes	no	2	3	Sometimes	no	2	no	0	1	no	Public_Transportation	Normal_Weight
Female	21	1.52	56	yes	no	3	3	Sometimes	yes	3	yes	3	0	Sometimes	Public_Transportation	Normal_Weight
Male	23	1.8	77	yes	no	2	3	Sometimes	no	2	no	2	1	Frequently	Public_Transportation	Normal_Weight
Male	27	1.8	87	no	no	3	3	Sometimes	no	2	no	2	0	Frequently	Walking	Overweight_Level_I
Male	22	1.78	89.8	no	no	2	1	Sometimes	no	2	no	0	0	Sometimes	Public_Transportation	Overweight_Level_II
Male	29	1.62	53	no	yes	2	3	Sometimes	no	2	no	0	0	Sometimes	Automobile	Normal_Weight
Female	23	1.5	55	yes	yes	3	3	Sometimes	no	2	no	1	0	Sometimes	Motorbike	Normal_Weight
Male	22	1.64	53	no	no	2	3	Sometimes	no	2	no	3	0	Sometimes	Public_Transportation	Normal_Weight
Male	24	1.78	64	yes	yes	3	3	Sometimes	no	2	no	1	1	Frequently	Public_Transportation	Normal_Weight
Male	22	1.72	68	yes	yes	2	3	Sometimes	no	2	no	1	1	no	Public_Transportation	Normal_Weight
Male	26	1.85	105	yes	yes	3	3	Frequently	no	3	no	2	2	Sometimes	Public_Transportation	Obesity_Type_I
Female	21	1.72	80	yes	yes	2	3	Frequently	no	2	yes	2	1	Sometimes	Public_Transportation	Overweight_Level_II
Male	22	1.65	56	no	no	3	3	Sometimes	no	3	no	2	0	Sometimes	Public_Transportation	Normal_Weight
Male	41	1.8	99	no	yes	2	3	Sometimes	no	2	no	2	1	Frequently	Automobile	Obesity_Type_I
Male	23	1.77	60	yes	yes	3	1	Sometimes	no	1	no	1	1	Sometimes	Public_Transportation	Normal_Weight
Female	22	1.7	66	yes	no	3	3	Always	no	2	yes	2	1	Sometimes	Public_Transportation	Normal_Weight
Male	27	1.93	102	yes	yes	2	1	Sometimes	no	1	no	1	0	Sometimes	Public_Transportation	Overweight_Level_II
Female	29	1.53	78	no	yes	2	1	Sometimes	no	2	no	0	0	no	Automobile	Obesity_Type_I
Female	30	1.71	82	yes	yes	3	4	Frequently	yes	1	no	0	0	no	Automobile	Overweight_Level_II
Female	23	1.65	70	yes	no	2	1	Sometimes	no	2	no	0	0	Sometimes	Public_Transportation	Overweight_Level_I
Male	22	1.65	80	yes	no	2	3	Sometimes	no	2	no	3	2	no	Walking	Overweight_Level_II
Female	52	1.69	87	yes	yes	3	1	Sometimes	yes	2	no	0	0	no	Automobile	Obesity_Type_I
Female	22	1.65	60	yes	yes	3	3	Sometimes	no	2	no	1	0	Sometimes	Automobile	Normal_Weight
Female	22	1.6	82	yes	yes	1	1	Sometimes	no	2	no	0	2	Sometimes	Public_Transportation	Obesity_Type_I
Male	21	1.85	68	yes	yes	2	3	Sometimes	no	2	no	0	1	Sometimes	Public_Transportation	Normal_Weight
Male	20	1.6	50	yes	no	2	4	Frequently	yes	2	no	3	2	no	Public_Transportation	Normal_Weight
Male	21	1.7	65	yes	yes	2	1	Frequently	no	2	no	1	2	Always	Walking	Normal_Weight
Female	23	1.6	52	no	yes	2	4	Frequently	no	2	no	2	1	Sometimes	Automobile	Normal_Weight
Male	19	1.75	76	yes	yes	3	3	Sometimes	no	2	yes	3	1	Sometimes	Public_Transportation	Normal_Weight
Male	23	1.68	70	no	yes	2	3	Sometimes	no	2	no	2	2	Frequently	Walking	Normal_Weight
Male	29	1.77	83	no	yes	1	4	Frequently	no	3	no	0	1	no	Motorbike	Overweight_Level_I
Female	31	1.58	68	yes	no	2	1	Sometimes	no	1	no	1	0	Sometimes	Public_Transportation	Overweight_Level_II
Female	24	1.77	76	no	no	2	3	Sometimes	no	3	no	1	1	Sometimes	Walking	Normal_Weight
Male	39	1.79	90	no	no	2	1	Sometimes	no	2	no	0	0	Sometimes	Public_Transportation	Overweight_Level_II
Male	22	1.65	62	no	yes	2	4	Frequently	no	2	no	2	0	Sometimes	Public_Transportation	Normal_Weight
Female	21	1.5	65	yes	no	2	3	Sometimes	no	2	no	2	2	Sometimes	Public_Transportation	Overweight_Level_II
Female	22	1.56	49	no	yes	2	3	Sometimes	no	1	yes	2	0	no	Walking	Normal_Weight
Female	21	1.6	48	no	yes	2	3	Sometimes	no	1	no	1	0	Sometimes	Public_Transportation	Normal_Weight
Male	23	1.65	67	yes	yes	2	3	Sometimes	no	2	no	1	1	Sometimes	Public_Transportation	Normal_Weight
Female	21	1.75	88	yes	yes	2	3	Sometimes	no	3	no	3	0	Sometimes	Public_Transportation	Overweight_Level_II
Female	21	1.67	75	yes	yes	2	3	Sometimes	no	2	no	1	0	Sometimes	Public_Transportation	Overweight_Level_I
Male	23	1.68	60	no	no	2	4	Frequently	no	2	no	0	0	no	Walking	Normal_Weight
Female	21	1.66	64	yes	yes	1	3	Sometimes	no	1	no	0	0	no	Public_Transportation	Normal_Weight
Male	21	1.66	62	yes	yes	2	3	Sometimes	yes	2	no	1	1	Frequently	Public_Transportation	Normal_Weight
Male	21	1.81	80	no	no	1	3	no	no	2	no	2	0	no	Public_Transportation	Normal_Weight
Female	21	1.53	65	yes	no	2	3	Sometimes	no	1	no	0	1	no	Public_Transportation	Overweight_Level_II
Male	21	1.82	72	yes	yes	1	3	Frequently	no	3	no	2	0	Sometimes	Public_Transportation	Normal_Weight
Male	21	1.75	72	yes	yes	1	3	Frequently	no	3	no	2	0	Sometimes	Public_Transportation	Normal_Weight
Female	20	1.66	60	yes	no	3	3	Sometimes	no	2	no	1	0	Sometimes	Walking	Normal_Weight
Female	21	1.55	50	no	yes	2	3	Sometimes	no	2	no	0	0	Sometimes	Public_Transportation	Normal_Weight
Female	21	1.61	54.5	yes	yes	3	3	Sometimes	no	3	no	0	1	Sometimes	Walking	Normal_Weight
Female	20	1.5	44	no	yes	2	3	Sometimes	no	1	no	0	0	Sometimes	Automobile	Normal_Weight
Female	23	1.64	52	no	yes	3	1	Sometimes	no	2	no	2	2	no	Public_Transportation	Normal_Weight
Female	23	1.63	55	yes	no	3	3	no	no	2	yes	2	1	no	Public_Transportation	Normal_Weight
Female	22	1.6	55	no	no	3	4	Always	no	3	no	2	0	no	Public_Transportation	Normal_Weight
Male	23	1.68	62	no	no	2	4	Frequently	no	2	no	0	0	Sometimes	Automobile	Normal_Weight
Male	22	1.7	70	yes	yes	2	3	Sometimes	no	1	no	0	1	Sometimes	Automobile	Normal_Weight
Male	21	1.64	65	yes	no	2	3	Sometimes	no	1	no	0	1	no	Public_Transportation	Normal_Weight
Female	17	1.65	67	yes	yes	3	1	Sometimes	no	2	no	1	1	no	Walking	Normal_Weight
Male	20	1.76	55	yes	yes	2	4	Sometimes	no	3	no	2	2	no	Public_Transportation	Insufficient_Weight
Female	21	1.55	49	yes	yes	2	3	Sometimes	no	3	no	3	1	Sometimes	Public_Transportation	Normal_Weight
Male	20	1.65	58	no	yes	2	3	Sometimes	no	2	no	3	1	Sometimes	Public_Transportation	Normal_Weight
Male	22	1.67	62	no	yes	2	1	no	no	2	no	0	0	Sometimes	Public_Transportation	Normal_Weight
Male	22	1.68	55	yes	yes	2	3	Sometimes	no	2	no	0	2	Sometimes	Automobile	Normal_Weight
Female	21	1.66	57	yes	yes	2	3	Frequently	no	1	no	1	1	no	Public_Transportation	Normal_Weight
Female	21	1.62	69	yes	yes	1	3	Frequently	no	2	no	0	1	no	Public_Transportation	Overweight_Level_I
Male	23	1.8	90	yes	yes	1	3	Always	no	2	no	0	2	Frequently	Public_Transportation	Overweight_Level_II
Male	23	1.65	95	yes	yes	2	3	Always	no	2	no	0	1	Frequently	Automobile	Obesity_Type_I
Male	30	1.76	112	yes	yes	1	3	no	yes	2	yes	0	0	Frequently	Automobile	Obesity_Type_II
Male	23	1.8	60	yes	no	2	3	no	no	3	no	0	1	Sometimes	Public_Transportation	Normal_Weight
Female	23	1.65	80	yes	yes	2	3	Always	no	2	no	0	2	no	Public_Transportation	Overweight_Level_II
Female	22	1.67	50	yes	no	3	3	no	no	3	yes	2	1	Sometimes	Public_Transportation	Insufficient_Weight
Female	24	1.65	60	yes	no	2	3	Sometimes	no	3	yes	1	0	no	Public_Transportation	Normal_Weight
Male	19	1.85	65	yes	no	2	3	Sometimes	no	3	no	2	1	Sometimes	Bike	Normal_Weight
Male	24	1.7	85	yes	yes	2	3	Frequently	no	3	no	0	1	Frequently	Public_Transportation	Overweight_Level_II
Female	23	1.63	45	yes	no	3	3	Sometimes	no	3	yes	2	0	no	Public_Transportation	Insufficient_Weight
Female	24	1.6	45	yes	no	2	3	no	no	2	no	1	0	no	Public_Transportation	Insufficient_Weight
Female	24	1.7	80	yes	yes	2	3	Sometimes	no	3	no	0	0	no	Public_Transportation	Overweight_Level_II
Female	23	1.65	90	yes	yes	2	3	Sometimes	no	3	no	0	1	no	Public_Transportation	Obesity_Type_I
Male	23	1.65	60	yes	no	2	3	Sometimes	no	2	no	0	0	Sometimes	Public_Transportation	Normal_Weight
Female	19	1.63	58	no	no	3	3	Sometimes	no	2	yes	0	0	no	Public_Transportation	Normal_Weight
Male	30	1.8	91	yes	yes	2	3	Frequently	no	2	no	0	0	Sometimes	Public_Transportation	Overweight_Level_II
Male	23	1.67	85.5	yes	yes	2	3	Always	no	2	no	0	1	no	Public_Transportation	Obesity_Type_I
Female	19	1.6	45	no	no	3	3	no	no	3	yes	2	0	no	Walking	Insufficient_Weight
Male	25	1.7	83	yes	yes	2	3	Frequently	no	2	no	0	1	Sometimes	Public_Transportation	Overweight_Level_II
Male	23	1.65	58.5	yes	no	2	3	Sometimes	no	2	no	0	0	no	Public_Transportation	Normal_Weight
Male	21	1.85	83	yes	yes	2	1	Frequently	no	3	no	1	0	no	Public_Transportation	Normal_Weight
Male	19	1.82	87	yes	yes	2	3	Sometimes	no	2	no	0	0	no	Public_Transportation	Overweight_Level_I
Female	22	1.65	65	yes	yes	2	3	Frequently	no	2	yes	1	0	no	Automobile	Normal_Weight
Female	29	1.7	78	yes	yes	3	3	Sometimes	no	1	no	2	1	Frequently	Automobile	Overweight_Level_II
Female	25	1.63	93	no	no	3	4	Always	no	1	no	2	0	no	Public_Transportation	Obesity_Type_II
Female	20	1.61	64	yes	no	3	3	Always	no	2	yes	0	1	Frequently	Public_Transportation	Normal_Weight
Male	55	1.78	84	yes	no	3	4	Frequently	no	3	yes	3	0	Frequently	Walking	Overweight_Level_I
Female	20	1.6	57	no	no	3	3	Always	no	2	no	1	0	no	Walking	Normal_Weight
Female	24	1.6	48	no	yes	3	3	Sometimes	no	2	no	2	0	no	Public_Transportation	Normal_Weight
Male	26	1.7	70	yes	no	3	1	Frequently	no	2	no	2	0	Frequently	Public_Transportation	Normal_Weight
Female	23	1.66	60	yes	no	2	3	Sometimes	no	2	no	3	0	Sometimes	Public_Transportation	Normal_Weight
Female	21	1.52	42	no	no	3	1	Frequently	no	1	no	0	0	Sometimes	Public_Transportation	Insufficient_Weight
Female	21	1.52	42	no	no	3	1	Frequently	no	1	no	0	0	Sometimes	Public_Transportation	Insufficient_Weight
Male	23	1.72	70	no	no	2	3	Sometimes	no	2	no	3	1	Frequently	Public_Transportation	Normal_Weight

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Dataset Card for Estimation of Obesity Levels Based on Eating Habits and Physical Condition

This dataset contains survey data collected from individuals in Mexico, Peru, and Colombia to estimate obesity levels based on eating habits and physical condition. It includes 2,111 rows and 17 columns with demographic, dietary, and lifestyle features, along with a categorical target variable for obesity levels.

Dataset Details

Dataset Description

The dataset is designed to classify individuals into one of seven obesity-related categories based on their eating habits, physical activity, and demographics. It can be used for health informatics, predictive modeling, and educational purposes.

Curated by: Angel Palacios, Edgar Moreira, and Rafael Barea
Funded by [optional]: [More Information Needed]
Shared by [optional]: UCI Machine Learning Repository
Language(s) (NLP): Spanish (original survey), English (dataset)
License: CC BY 4.0

Dataset Sources [optional]

Repository: UCI Machine Learning Repository
Paper [optional]: Palacios, A., Moreira, E., & Barea, R. (2019). "Estimation of Obesity Levels based on Eating Habits and Physical Condition."
Demo [optional]: [More Information Needed]

Uses

Direct Use

Classification of obesity levels.
Educational projects on data preprocessing and supervised learning.
Research into the correlation between habits and obesity.

Out-of-Scope Use

Using the dataset to make clinical or diagnostic decisions.
Using the dataset to stigmatize or discriminate individuals.

Dataset Structure

Rows: 2,111
Columns: 17
Target Variable: NObeyesdad (7 obesity categories)

Class Distribution:

Obesity_Type_I: 351
Obesity_Type_II: 297
Obesity_Type_III: 324
Overweight_Level_I: 290
Overweight_Level_II: 290
Normal_Weight: 287
Insufficient_Weight: 272

Key Fields:

Gender, Age, Height, Weight
family_history_with_overweight
FAVC (Frequent high-calorie food consumption)
FCVC (Vegetable consumption frequency)
NCP (Number of main meals)
CAEC (Consumption of food between meals)
SMOKE, CH2O (water intake), SCC (calories monitoring)
FAF (Physical activity frequency), TUE (Time on devices)
CALC (Alcohol consumption), MTRANS (Transportation)
NObeyesdad (Obesity classification)

Dataset Creation

Curation Rationale

The dataset was created to explore the relationship between lifestyle, eating habits, and obesity levels in Latin America.

Source Data

Data Collection and Processing

Data was collected through surveys administered in Mexico, Peru, and Colombia. BMI and other lifestyle metrics were used to derive obesity levels.

Who are the source data producers?

Adults from the surveyed countries who self-reported their eating and lifestyle habits.

Annotations [optional]

Annotation process

Obesity levels were derived from BMI categories and participant data.

Who are the annotators?

Researchers from UCI and collaborators.

Personal and Sensitive Information

Contains sensitive health-related information (weight, eating habits, lifestyle). Does not contain personally identifiable information.

Bias, Risks, and Limitations

Data is self-reported (possible inaccuracies).
Population limited to three Latin American countries.
Not representative of global populations.

Recommendations

Users should be made aware of the risks, biases, and limitations of the dataset. The dataset is intended for educational and research purposes, not medical diagnosis.

Citation [optional]

BibTeX:

@misc{palacios2019obesity,
  title={Estimation of Obesity Levels Based on Eating Habits and Physical Condition},
  author={Palacios, Angel and Moreira, Edgar and Barea, Rafael},
  year={2019},
  publisher={UCI Machine Learning Repository},
  howpublished={\url{https://archive.ics.uci.edu/ml/datasets/Estimation+of+obesity+levels+based+on+eating+habits+and+physical+condition}}
}