Elementary sample code for "Titanic: Machine Learning from Disaster" contest of Kaggle.
- Python 2.7.x
- Scikit-learn
- matplotlib
-
Clone the repository
git clone https://github.com/sodesign/Kaggle_Titanic.git
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Execute
cd Kaggle_Titanic python output_contest_file.py
-
Submit to Kaggle
Check the
./result
directory and submit to Kaggle it.
- About 74-75%
- Current top accuracy is over 90%.
- Random forest
-
Improve logic for accuracy
- selection of elements of feature vector
- graph analysis by human relation (?)
-
Visualization
-
etc.