(assignment06)=

# Assignment 6 (demo). Beating baselines in a competition

<img src="https://habrastorage.org/webt/ia/m9/zk/iam9zkyzqebnf_okxipihkgjwnw.jpeg" />

**<center>[mlcourse.ai](https://mlcourse.ai) – Open Machine Learning Course** </center><br>
Author: Yury Kashnitsky. All content is distributed under the [Creative Commons CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license.

Following simple baselines in the ["Alice" competition](https://www.kaggle.com/c/catch-me-if-you-can-intruder-detection-through-webpage-session-tracking2) (see [Topic 4](topic04_intro)), check out a bit more advanced Notebooks:

 - ["Correct time-aware cross-validation scheme"](https://www.kaggle.com/kashnitsky/correct-time-aware-cross-validation-scheme);
 - ["Model validation in a competition"](https://www.kaggle.com/kashnitsky/model-validation-in-a-competition);

Go on with feature engineering and try to achieve ~ 0.955 (or higher) ROC AUC on the [Public Leaderboard](https://www.kaggle.com/c/catch-me-if-you-can-intruder-detection-through-webpage-session-tracking2/leaderboard). Alternatively, if a better solution is already shared by the time you join the competition, try to improve the best publicly shared solution by at least 0.5%. However, **please do not share high-performing solutions**, it ruins the competitive spirit of the competition and also hurts some other courses which also have this competition in their syllabus.

You might want to check out [Bonus Assignment 4](bonus04) to achieve this.