Update README.md
Browse files
README.md
CHANGED
@@ -31,7 +31,9 @@ Evaluation results
|
|
31 |
------------------
|
32 |
|
33 |
In addition of accuracy (called here *exact accuracy*) in order to be robust to +/-1 star estimation errors, we will take the following definition as a performance measure:
|
|
|
34 |
$$\mathrm{top\!-\!2\; acc}=\frac{1}{|\mathcal{O}|}\sum_{i\in\mathcal{O}}\sum_{0\leq l < 2}\mathbb{1}(\hat{f}_{i,l}=y_i)$$
|
|
|
35 |
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.
|
36 |
|
37 |
| **class** | **exact accuracy (%)** | **top-2 acc (%)** | **support** |
|
|
|
31 |
------------------
|
32 |
|
33 |
In addition of accuracy (called here *exact accuracy*) in order to be robust to +/-1 star estimation errors, we will take the following definition as a performance measure:
|
34 |
+
|
35 |
$$\mathrm{top\!-\!2\; acc}=\frac{1}{|\mathcal{O}|}\sum_{i\in\mathcal{O}}\sum_{0\leq l < 2}\mathbb{1}(\hat{f}_{i,l}=y_i)$$
|
36 |
+
|
37 |
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.
|
38 |
|
39 |
| **class** | **exact accuracy (%)** | **top-2 acc (%)** | **support** |
|