Quantum Black Challenge

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  Confusion Matrix

Inspiration

We are passionate to solve the data analysis challenge!

What it does

With the 64 input attributes (i.e.features), we can predict if a company will go bankrupt.

How we built it

We used various machine learning models to fit the model and get predictions.

Challenges we ran into

Extremely unbalanced dateset! High dimension input data makes training slow.

Accomplishments that we're proud of

We obtained the highest F1_score so far on the leader board

What we learned

Data mining, Machine learning, and visualisation

What's next for Quantum Black Challenge

Improve the model to get more accurate predictions; introduce more thorough predictions such as the probability of a company going bankrupt within a given amount of time

Built With

• python