kaggle boschコンペに参加し15/1373位に入りました。 Kaggle Tokyo Meetup #2 での発表資料となります。 (http://www.slideshare.net/hskksk/kaggle-bosch の縮小版です)

1. Bosch Production Line Performance
2017/2/4
hskksk
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2. •
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• Result
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•
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3. RCO
bosch production line performance
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4. RCO
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• R, Python, C++
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•
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5. xgboost(R) fwrite_libsvm
xgboost ( )R
http://www.slideshare.net/hskksk/libsvm
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6. :
: 2016/8/17 - 2016/11/12
: Matthews correlation coefficient
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7. Lx_Sy_Dz Lx_Sy_F{z-1}
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8. 8

9. 0: 1,176,868 (99.4%)
1: 6,879 ( 0.6%)
extremely imbalanced data
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10. Result
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11. • g_votte
• tkm
• hskksk( )
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12. LB
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13. Public
Leaderboard
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14. Private
Leaderboard
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15. Top Ten !
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16. 16

17. • LB
(CV )
• ( )
↑
• xgboost dart
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18. Feature engineering
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19. • 25
• 3154
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20. 1. ID
• Forum magic feature
2.
•
3.
•
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21. xgboost importance
• = 1
• = 3
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22. •
• ID
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23. •
• ID
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24. Station 38
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• Station 38
!!
• ID
Station 38 NA
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25. ID
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26. • bitmap
( 17017 )
• bitmap
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•
•
•
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27. 27

28. 28

29. 29

30. 30

31. 31

32. •
•
•
•
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33. • hskksk Line2 tkm Line0
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34. •
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• 3 fold 1
• MCC LB Feedback
• tkm g_votte
• LB Feedback
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35. Public Private
• tkm submit Public
Score Private
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•
•
•
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36. • submit
•
•
•
• mcc
•
•
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37. kaggle
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• Accuracy confusion matrix
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• think more, try less
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38. Enjoy Kaggle!
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