teenager

This dataset contains anthropometric and demographic data of Indonesian teenagers, specifically curated for the study on obesity risk prediction using supervised machine learning techniques. It consists of 352 entries with the following attributes: Gender: Categorical variable indicating the sex of the teenager (Laki - laki / Perempuan). Age: Age of the subject in years (ranging from 10 to 18). Height: Height in meters. Weight: Weight in kilograms. BMI: Body Mass Index, calculated from the height and weight. Label: BMI classification category (e.g., Normal, Overweight, Obese), based on standard health thresholds. The dataset was preprocessed from a single delimited column format into structured tabular data. It serves as a foundation for training and evaluating machine learning models in classifying obesity risk levels among teenagers. The data is anonymized and collected from various sources relevant to the Indonesian adolescent demographic.