Update README.md

README.md

@@ -34,7 +34,7 @@ In addition of accuracy (called here *exact accuracy*) in order to be robust to
 
 $$\mathrm{top\!-\!2\; acc}=\frac{1}{|\mathcal{O}|}\sum_{i\in\mathcal{O}}\sum_{0\leq l < 2}\mathbb{1}(\hat{f}_{i,l}=y_i)$$
 
-where $\hat{f}_l$ is the l-th largest predicted label, $y$ the true label, $\mathcal{O}$ is the test set of the observations and $\mathbb{1}$ is the indicator function.
+where \\(\hat{f}_l\\) is the l-th largest predicted label, \\(y\\) the true label, \\(\mathcal{O}\\) is the test set of the observations and \\(\mathbb{1}\\) is the indicator function.
 
 | **class**   | **exact accuracy (%)** | **top-2 acc (%)** | **support** |
 | :---------: | :--------------------: | :---------------: | :---------: |