Kaggle bosch presentation material for Kaggle Tokyo Meetup #2

Bosch Production Line Performance 2017/2/4hskksk

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• Result•

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RCObosch production line performance

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RCO

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• R, Python, C++

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xgboost(R) fwrite_libsvmxgboost ( )R

http://www.slideshare.net/hskksk/libsvm

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: : 2016/8/17 - 2016/11/12

: Matthews correlation coefficient

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Lx_Sy_Dz Lx_Sy_F{z-1} 7

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0: 1,176,868 (99.4%)1: 6,879 ( 0.6%)

extremely imbalanced data

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Result

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• g_votte

• tkm

• hskksk( )

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LB

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Public Leaderboard

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Private Leaderboard

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Top Ten !

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• LB(CV )

• ( ) ↑

• xgboost dart

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Feature engineering

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• 3154

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1. ID

• Forum magic feature

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xgboost importance

• = 1

• = 3

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• ID

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Station 38

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• Station 38!!

• IDStation 38 NA

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ID

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• bitmap( 17017 )

• bitmap

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• hskksk Line2 tkm Line0

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• 3 fold 1

• MCC LB Feedback

• tkm g_votte

• LB Feedback34

Public Private• tkm submit Public

Score Private

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• submit

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• mcc

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kaggle•

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• Accuracy confusion matrix

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• think more, try less

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Enjoy Kaggle!

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