Drug is medicine that has a physiological effect when ingested into the body to tackle certain symptoms or dieases a person have. Different types of drug may induce different response and side effect to a person's body. People may also have different reaction to the same type of drug taken. We would like to know about the reaction of 200 test subjects after taking 5 types of drug. This study aims to predict the type of drug a subject takes, given his body readings after taking the drug.
This dataset was published by Pratham Tripathi on Kaggle.
It is a fictional dataset for study purpose only.
| Column | Description |
|---|---|
| Age | Age of the test subjects. |
| Sex | Sex of the test subject. |
| BP | Blood pressure level of the test subject. |
| Cholesterol | Cholesterol level in blood of the test subject. |
| Na_to_K | Sodium to potassium ratio of the test subject. |
| Drug | The drug taken by the test subject. |
- To identify the features that help classify drug taken
- To build a K-Nearest Neighbors model to predict the type of drug that a person took based on his body readings