7762aa93ff14064

http://nhiro.org.s3.amazonaws.com/0/0/00dae007114c718d510ed6fcc72b747f.jpg https://gyazo.com/00dae007114c718d510ed6fcc72b747f

(OCR text)

1層目のモデル:xgboost

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-Model 14: Xgboost(R). Trainned one against all. Dataset:

(X, feature sum(zeros) by row ). Replaced zeros with NA.

-Model 15: Xgboost(R). Trainned Multiclass Soft-Prob.

Dataset: (X, 7 Kmeans features with different number of

clusters, rowSums(X-0), rowSums(Scale(X)>0.5),

rowSums(Scale(X)< -0.5))

-Model 16: Xgboost(R). Trainned Multiclass Soft-Prob.

Dataset: (X, T-sne features, Some Kmeans clusters of X)

-Model 17: Xgboost(R): Trainned Multiclass Soft-Prob.

Dataset: (X, T-sne features, Some Kmeans clusters of

log (1+X))

-Model 18: Xgboost(R): Trainned Multiclass Soft-Prob.

Dataset: (X, T-sne features, Some Kmeans clusters of

Scale(X))

xgboostはGBDTの実装の一つ

http:://github.com/dmlc/xgboost

LO