challenge Axa datascience
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Starter project for the Axa challenge on datascience.net https://datascience.net/fr/challenge/17/details
challenge Axa datascience
- 1. Axa challenge with DSS Matthieu Scordia - Data Scientist @ Dataiku Kaggle Meetup 13/01/2015
- 2. Matthieu Scordia Score insurances 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: Lets get started. 1 - Download & install the DSS community edition. 2 - Import the AXA project.
- 4. Matthieu Scordia Step 2: Enter the 鍖ow. datasets source datasets preprocessed submissions Two models plugged
- 5. Matthieu Scordia The data. Classi鍖cation 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 鍖ow or customize it in a python notebook 2 - R辿cup辿rer 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 !