Hi, I’m failing to replicate the MSE loss function used in Lesson 5 (movie recommendations).

I get `1.4`

and `learn.fit()`

gives `0.8`

. Why?

My code is:

```
from sklearn.metrics import mean_squared_error
pred_scores = ratings.iloc[val_idxs]
pred_scores["preds"] = preds
mean_squared_error(pred_scores["rating"], pred_scores["preds"])
```

Thanks in advance!