Teams will be evaluated using the logloss metric, formally defined as:

$$ \[ \text{LogLoss} = - \frac{1}{N} \sum_{i=1}^{N} \sum_{j=1}^{M} y_{ij} \log(p_{ij}) \] $$

A lower logloss indicates a better-performing model. Ensure that you predict the probability for each of the 7 possible models for every data point in the test set.


Sample Submission Format:

```
| id | target_0 | target_1 | target_2 | target_3 | target_4 | target_5 | target_6 |
|----|----------|----------|----------|----------|----------|----------|----------|
| 1  | 0.1      | 0.1      | 0.1      | 0.1      | 0.3      | 0.1      | 0.2      |
| 2  | 0.2      | 0.2      | 0.1      | 0.1      | 0.1      | 0.1      | 0.2      |
| .. | ...      | ...      | ...      | ...      | ...      | ...      | ...      |
| N  | p_{N1}   | p_{N2}   | p_{N3}   | p_{N4}   | p_{N5}   | p_{N6}   | p_{N7}   |
```