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.ipynb_checkpoints
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Feature_extraction_playground.ipynb
Model_training_playground.ipynb
Readme.md
evaluation.py
feature_generation.py
main.py
training.py

Readme.md

Ditech Competition 2016

This repository is for the code of my competing Ditech Competition 2016. The final rank is 269/775. The top score is 0.290618 (first place score is 0.245202).

How to use?

Download data in the same folder, remove "_test" in all the test data file filename.

How to play?

Jupyter notebook "Feature_extraction_playground.ipynb" is the scratch paper of feature extraction and data checking. "Model_training_playground.ipynb" is the scratch paper for model selection and parameter tunning.

Run python feature_generation.py first then python main.py to generate result.csv.