Predicting Weight Categorie is a machine learning project that aims to predict obesity types based on personal and lifestyle factors. The project utilizes a powerful machine learning model trained on a comprehensive dataset to accurately classify individuals into different obesity categories.
- Gender
- Age
- Height
- Weight
- Family History with Overweight
- Frequent Consumption of High-Caloric Food (FAVC)
- Frequency of Consumption of Vegetables (FCVC)
- Number of Main Meals (NCP)
- Consumption of Food Between Meals (CAEC)
- Smoking Status
- Consumption of Water Daily (CH2O)
- Calories Consumption Monitoring (SCC)
- Physical Activity Frequency (FAF)
- Time Using Technology Devices (TUE)
- Consumption of Alcohol (CALC)
- Mode of Transportation (MTRANS)
- Obesity Level (NObeyesdad)