Starter project for the Axa challenge on datascience.net https://datascience.net/fr/challenge/17/details

1. Axa challenge with DSS
Matthieu Scordia - Data Scientist @ Dataiku
Kaggle Meetup 13/01/2015

2. Matthieu Scordia
Score insurance’s product for cross-sales.
1st : 5 000 €
2nd : 3 000 €
3th: 2 000 €
4th : 1 500 €
5th: 1 000 €
6th: 500 €
Second phase of the competition with DSS!

3. Matthieu Scordia
Step 1: Let’s get started.
1 - Download & install the DSS community edition.
2 - Import the AXA project.

4. Matthieu Scordia
Step 2: Enter the flow.
datasets source
datasets preprocessed
submissions
Two models plugged

5. Matthieu Scordia
The data.
Classification problem.
- Target: {0, 1}
- Some known variables: department, sex, age
- 19 more numerical, only integers.
- 11 categorical variables with small cardinality.
25 333 rows!
88 225 rows!
34 columns!
Unbalanced!!

6. Matthieu Scordia
Evaluation method: the lift (10%)

7. Matthieu Scordia
Step 3: Make your own model.
Two examples available in the DSS project:
a python script running a random forest:
- a DSS model bench:

8. Matthieu Scordia
In the model bench
You can try different algorithms and compare them:

9. Matthieu Scordia
Put your model in the flow or customize it in a python notebook
2 - Récupérer des features et les critiques sur allocine.com
If you want to submit on datascience.net.

10. Matthieu Scordia
Export and submit online.
Good luck !