Formulate a classification application/problem using the data shown article below

Estimation of obesity levels based on eating habits and physical condition Data Set Download: Data Folder, Data Set Description Abstract: 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. Data Set Characteristics: Multivariate Number of Instances: 2111 Area: Life Attribute Characteristics: Integer Number of Attributes: 17 Date Donated 2019-08-27 Associated Tasks: Classification, Regression, Clustering Missing Values? N/A Number of Web Hits: 26661 Source: Fabio Mendoza Palechor, Email: fmendoza1 '@' cuc.edu.co, Celphone: +573182929611 Alexis de la Hoz Manotas, Email: akdelahoz '@gmail.com, Celphone: +573017756983 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 1, 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. Estimation of obesity levels based on eating habits and physical condition Data Set Download: Data Folder, Data Set Description Abstract: 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. Data Set Characteristics: Multivariate Number of Instances: 2111 Area: Life Attribute Characteristics: Integer Number of Attributes: 17 Date Donated 2019-08-27 Associated Tasks: Classification, Regression, Clustering Missing Values? N/A Number of Web Hits: 26661 Source: Fabio Mendoza Palechor, Email: fmendoza1 '@' cuc.edu.co, Celphone: +573182929611 Alexis de la Hoz Manotas, Email: akdelahoz '@gmail.com, Celphone: +573017756983 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 1, 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