f the points in class 1 vs the points in the classes 2, 3
and 4.  Then, we do the same for class 2, and so on.
The way we end up building as many classifiers as we have classes.

---

class: spacious

# Prediction with One Vs Rest


"Class with highest score"

$$\hat{y} = \text{arg}\max_{i \in Y} \textbf{w}_i\textbf{x}$$

Unclear why it works, but work well.


???
To make a prediction, we compute the decision function of all classifiers,
say 4 in the example, on a new data point. The one with the highest sc