Urinalysis Test Results Dataset

Inspiration

To see if we can answer all the questions in the challenge

What it does

finds important features and how they impact diagnosis

How we built it

Identified important features using XGB classifier, answered class imbalance problem using SMOTE, performed EDA with matplotlib and seaborn

Challenges we ran into

tried various methods to find important features

Accomplishments that we're proud of

Finding important features and addressing Class imbalance

What we learned

Finding important features and addressing Class imbalance

What's next for Urinalysis Test Results Dataset

implementing ML models, clinical interpretation and validation

Built With

• python