BMI Dataset

Description:

A simple yet challenging project, to estimate the BMI based on the Gender, Height & Weight.
The complexity arises due the fact that dataset has less samples, & is highly imbalanced.
Can you overcome these obstacles & build a good predictive model to classify them?

This data frame contains the following columns:

• Gender : Male / Female

• Height : Number (cm)

• Weight : Number (Kg)

• Index :
  0 - Extremely Weak
  1 - Weak
  2 - Normal
  3 - Overweight
  4 - Obesity
  5 - Extreme Obesity

Source:

Kaggle -
https://www.kaggle.com/yersever/500-person-gender-height-weight-bodymassindex

Objective:

• Understand the Dataset & cleanup (if required).
• Build classification models to predict the various categories of BMI.
• Compare the evaluation metrics of vaious classification algorithms.