| What | Why | Who |
|---|---|---|
| we used all 6 available features | saw a relevant linear correlation with risk and little correlation between the features | OZ |
| we chose a 3 layer neural network with dropout, and batch normalization | this is probably overkill for the problem, but this solution was just copy pasted from a previous project and did what it should | OZ |
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