DEVELOPMENT... OpenML
Run
89000

Run 89000

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 05-12-2014 by Anthony Mitchell
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Flow

weka.Bagging_LogitBoost_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LogitBoost_REPTree(1)_P100
weka.Bagging_LogitBoost_REPTree(1)_S1
weka.Bagging_LogitBoost_REPTree(1)_num-slots1
weka.Bagging_LogitBoost_REPTree(1)_I10
weka.Bagging_LogitBoost_REPTree(1)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_REPTree(2)_P100
weka.LogitBoost_REPTree(2)_L-1.7976931348623157E308
weka.LogitBoost_REPTree(2)_H1.0
weka.LogitBoost_REPTree(2)_Z3.0
weka.LogitBoost_REPTree(2)_O1
weka.LogitBoost_REPTree(2)_E1
weka.LogitBoost_REPTree(2)_S1
weka.LogitBoost_REPTree(2)_I10
weka.LogitBoost_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(6)_M2
weka.REPTree(6)_V0.0010
weka.REPTree(6)_N3
weka.REPTree(6)_S1
weka.REPTree(6)_L5
weka.REPTree(6)_I0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7252
Per class
Average cost
15.6371
Build CPU time
2932.5374
Build memory
1828462064.234
F measure
0.7798
Per class
Kappa
0.1014
KB relative information score
-2525.3327
Mean absolute error
0.2508
Mean prior absolute error
0.2795
Number of instances
399482
Per class
OS information
[Sun Microsystems Inc., 1.6.0_45, amd64, Windows 8, 6.2]
Precision
0.8129
Per class
Predictive accuracy
0.8383
Prior entropy
0.653
Recall
0.8383
Per class
Relative absolute error
0.8973
Root mean prior squared error
0.3738
Root mean squared error
0.353
Root relative squared error
0.9443
SciMark benchmark
1262.313
Total cost
6246740