Your delivery will be graded based on the following criteria:
1. model performance based on F-measure (70%)
2. data visualization & insights (20%)
3. presentation (10%)

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**Model performance based on F-measure**

The evaluation metric for this competition is [Mean F1-Score](https://en.wikipedia.org/wiki/F-score). The F1 score, commonly used in information retrieval, measures accuracy using the statistics precision and recall

Precision is the ratio of true positives to all predicted positives. Recall is the ratio of true positives to all actual positives. The F1 score is given by:

![](https://www.gstatic.com/education/formulas2/397133473/en/f1_score.svg)

The F1 metric weights recall and precision equally, and a good retrieval algorithm will maximize both precision and recall simultaneously. Thus, moderately good performance on both will be favored over extremely good performance on one and poor performance on the other.


**Data Visualization**

The grading over data visualization is based on the data ink used (the most information in the least visual elements) and overall aesthetic. 

**Presentation**
The grading over presentation is based on effective organization of slides and clarity of communication.