Update README.md

README.md

@@ -44,8 +44,7 @@ All comparison models were trained exclusively on open data, either in the publi
 
 The following tables show the performance on each dataset. 
 For each, we report the respective main metric from EuroEval and the confidence interval. 
-The latter is calculated as the mean of the metric scores across all evaluation runs ± 1.96 times the standard error of the mean: 
-$$\hat{\mu} \pm 1.96 \times SEM \quad \textrm{where} \quad SEM = \frac{s}{\sqrt{n}} \quad \textrm{and} \quad s = \sqrt{\frac{\sum_{i=1}^{n} (x_i - \hat{\mu})^2}{n-1}} \quad \textrm{and} \quad \hat{\mu} = \frac{1}{n} \sum_{i=1}^{n} x_i$$
+The latter is calculated as the mean of the metric scores across all evaluation runs ± 1.96 times the standard error of the mean.
 
 | Model                               | scala-da (MCC)| dala (MCC)    | angry-tweets (MCC) | dansk (Micro F1, No Misc) | danske-talemaader (MCC) | danish-citizen-tests (MCC) | multi-wiki-qa-da (F1) | hellaswag-da (MCC) | nordjylland-news (BERTScore) | average  |
 | ----------------------------------- | ------------- | ------------- | ------------------ | ------------------------- | ----------------------- | -------------------------- | --------------------- | ------------------ | ---------------------------- | -------  |