## 2 Materials and Methods  
### Relevant Dataset  
The current research was designed with an observational scheme. This study was approved by Inonu University Health Sciences Non-Interventional Clinical Research Ethics Committee (approval number: 2022/4190). This investigation included data for the estimation of obesity levels, including the eating habits and physical activity statuses of 498 participants between the ages of 14 and 61 from Barranquilla, Colombia; Lima, Peru; and the City of Mexico, Mexico [33]. The information and descriptive statistics for the datasetare given in Table 1. A survey was administered using a web-based platform in which anonymous individuals answered each question, and 17 featured datasets were obtained (see Table 1). The features related to eating habits were: 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), and consumption of alcohol (CALC). The features related to the physical condition were: calorie consumption monitoring (SCC), physical activity frequency (FAF), time using technological devices (TUE), and transportation used (MTRANS). The other variables we obtained were: gender, age, height, and weight. Finally, after all calculations to determine each individual's body mass index (BMI) were completed, obesity levels were categorized by WHO data: underweight = less than 18.5; normal = 18.5 to 24.9; overweight = 25.0 to 29.9; obesity I = 30.0 to 34.9; obesity II = 35.0 to 39.9; obesity III = higher than 40. \begin{table}
\begin{tabular}{l l l c} \hline \hline
**Symbol** & **Feature** & **Possible Value/Category** & **Descriptive Statistics** \\ \hline Gender & Gender & Female & 227 (45.58) \\  & Gender & Male & 271 (54.42) \\ \hline Age & Age & Numeric value & 23.15 \(\pm\) 6.72 \\ \hline Height & Height & Numeric value in meters & 1.69 \(\pm\) 0.1 \\ \hline Weight & Weight & Numeric value in kilograms & 69.57 \(\pm\) 17.01 \\ \hline History & Family history of overweight & Yes & 198 (39.76) \\  & & No & 300 (60.24) \\ \hline FAVC & Eat high-caloric food frequently & Yes & 150 (30.12) \\  & & No & 348 (69.88) \\ \hline FCVC & Vegetables consumption frequency & Never & 32 (6.42) \\  & & Sometimes & 227 (54.62) \\  & & Always & 194 (38.96) \\ \hline NCP & Number of main meals daily & Between 1 and 2 & 108 (21.69) \\  & & Three & 344 (69.08) \\  & & More than three & 46 (9.20) \\ \hline CAEC & Consumption of food between meals & No & 53 (10.64) \\  & & Sometimes & 136 (27.31) \\  & & Frequently & 289 (58.03) \\  & & Always & 20 (4.02) \\ \hline Smoke & Smoking & Yes & 466 (93.57) \\  & & No & 32 (6.42) \\ \hline CH2O & Liquid intake daily & Less than a later & 135 (27.11) \\  & & Between 1 and 2 L & 266 (53.41) \\  & & More than 2 L & 97 (91.48) \\ \hline SCC & Calorie consumption monitoring & Yes & 443 (88.96) \\  & & No & 55 (11.04) \\ \hline FAF & Physical activity & 1 do not have & 162 (32.53) \\  & & 1 or 2 days & 158 (31.73) \\  & & 2 or 4 days & 113 (22.69) \\  & & 4 or 5 days & 65 (13.05) \\ \hline TUE & Time using technological devices & 0-2 h & 243 (48.80) \\  & & 3-5 h & 181 (36.35) \\  & & More than 5 h & 74 (14.86) \\ \hline CALC & Alcohol consumption & No & 1 (0.20) \\  & & Sometimes & 45 (9.04) \\  & & Frequently & 273 (54.82) \\  & & Always & 179 (35.94) \\ \hline  & & Automobile & 99 (19.88) \\  & & Motorbike & 7 (1.41) \\  & & Blake & 11 (2.21) \\  & & Public transportation & 326 (65.46) \\  & & Walking & 55 (11.04) \\ \hline  & & Underweight & 34 (6.83) \\  & & Normal weight & 287 (57.63) \\  & & Overweight Level I & 47 (9.44) \\ Obesity & Obesity level II & 11 (2.21) \\  & & Obesity Type I & 3 (0.60) \\  & & Obesity Type II & 58 (11.65) \\  & & Obesity Type III & 58 (11.65) \\ \hline \end{tabular}  
* Qualitative data are summarized as frequency (n) and percentage (%), and quantitative data as mean and standard deviation.  
\end{table}