This page contains information about projects of the applied inductive learning course.
|Tutorial||October 2, 2014||B28, 2.93|
|QA||October 16, 2014 13:30 GMT+2||B28, 2.93|
|Project||October 26, 2014 23:59 GMT+2||Project 1 - Classification algorithms, sources|
|QA||November 13, 2014 13:30 GMT+2||B28, 2.93|
|QA||November 20, 2014 13:30 GMT+2||B28, 2.93|
|Project||November 23, 2014 23:59 GMT+1||Project 2 - bias and variance analysis (deadline extended to Sunday, updated November 21, 9:45 GMT + 1)|
|Project||December 13, 2014 23:59 GMT+1||Project 3 - End of the challenge|
|Project||December 16, 2014 23:59 GMT+1||Project 3 - Submission of the challenge report|
|Project||December 18, 2014 14:00 GMT+1||Project 3 - Oral presentation of your challenge solution|
|Project||December 19||Project 3 - post challenge debriefing|
The third project is organized in the form a challenge, where you will compete against each other. We will provide you with some training data related to a given supervised learning task (activity recognition) and some test data with unknown labels in order respectively to train your model and to validate it. You can use any techniques and softwares you want to build the best possible model from the training data. During the course of the project, you will be allowed to submit your predictions on the test data and an intermediate ranking of the different teams will be provided according to their current best scores on half of the test data. At the closure of the challenge, the final ranking will be established according to the best score of each team on the second half of the data (You should thus be careful not to overfit the first half of the test data!).
To handle this challenge, we use Kaggle. You can access the competition at this address: https://inclass.kaggle.com/c/snapp.
To join, each group member first needs to create an account on Kaggle. Then, one group member needs to create a team (option "My Team" in the Dashboard at the left) and invite other group members to join his team. Submissions to the challenge should only be introduced through your team.
At the end of the challenge, we ask you also to write a report that describes the different steps of your approach and your main results. You should also send us your source code. Instructions to submit your project are the same as for the other projects.
As announced, we will have the oral presentations for the third project next Thursday in room 2.93. Because there is an important departmental meeting at 15h30, we would like to start the presentations at 12h30 (you can bring food with you in the room). You are all expected to attend all presentations. If you can not join at that time, please let us know as soon as possible. We will then schedule your talk later in the afternoon.
Each group presentation should last at most 8-10 minutes and will be followed by a couple of questions. The structure of your presentation is free. You are expected of course to explain the method you have used for your final submission but you can also talk about things that have not worked, difficulties you met in the course of the project, any idea you have for potential improvements but could not be implemented due to a lack of time, etc.
We encourage you to prepare slides for your presentation. To avoid loosing time between presentations, please try to send your slides (preferably in pdf) to Arnaud Joly before Thursday at 12h00. If not possible, bring a usb key with you.
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from data import make_cross if __name__ == "__main__": X, y = make_cross(random_state=0)
$ which python