Update README.md

README.md

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 # 🖊 Evaluation Criteria
 During evaluation [F1 score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html) and [Log Loss](http://wiki.fast.ai/index.php/Log_Loss) will be used to test the efficiency of the model where,
 
-<img src="https://latex.codecogs.com/gif.latex?F1%20%3D%202%20*%20%5Cfrac%7Bprecision*recall%7D%7Bprecision&plus;recall%7D"/> </br>
+<img src="https://latex.codecogs.com/gif.latex?F1%20%3D%202%20*%20%5Cfrac%7Bprecision*recall%7D%7Bprecision&plus;recall%7D"/> 
+
 <img src="https://microsoft.codecogs.com/svg.latex?-1/N\sum_{i=1}^{N}%20y_{i}%20\cdot%20\log(p(y_{i}))&plus;(1-y_{i})%20\cdot%20\log(1-p(y_{i}))"/> 
+
 # 🔗 Links
+
 * 💪 Challenge Page: [https://www.aicrowd.com/challenges/adclk-predict-if-an-ad-will-be-clicked](https://www.aicrowd.com/challenges/adclk-predict-if-an-ad-will-be-clicked)
 * 🗣️ Discussion Forum: [https://www.aicrowd.com/challenges/adclk-predict-if-an-ad-will-be-clicked/discussion](https://www.aicrowd.com/challenges/adclk-predict-if-an-ad-will-be-clicked/discussion)
 * 🏆 Leaderboard: [https://www.aicrowd.com/challenges/adclk-predict-if-an-ad-will-be-clicked/leaderboards](https://www.aicrowd.com/challenges/adclk-predict-if-an-ad-will-be-clicked/leaderboards)