DEVELOPMENT... OpenML
Run
89095

Run 89095

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 07-12-2014 by Anthony Mitchell
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Flow

weka.LogitBoost_RandomSubSpace_REPTree(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.REPTree(5)_I0.0
weka.REPTree(5)_L5
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.0010
weka.RandomSubSpace_REPTree(2)_P0.5
weka.RandomSubSpace_REPTree(2)_S1
weka.RandomSubSpace_REPTree(2)_num-slots1
weka.RandomSubSpace_REPTree(2)_I10
weka.RandomSubSpace_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.LogitBoost_RandomSubSpace_REPTree(1)_P100
weka.LogitBoost_RandomSubSpace_REPTree(1)_L-1.7976931348623157E308
weka.LogitBoost_RandomSubSpace_REPTree(1)_H1.0
weka.LogitBoost_RandomSubSpace_REPTree(1)_Z3.0
weka.LogitBoost_RandomSubSpace_REPTree(1)_O1
weka.LogitBoost_RandomSubSpace_REPTree(1)_E1
weka.LogitBoost_RandomSubSpace_REPTree(1)_S1
weka.LogitBoost_RandomSubSpace_REPTree(1)_I10
weka.LogitBoost_RandomSubSpace_REPTree(1)_Wweka.classifiers.meta.RandomSubSpace

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
0.7233
Per class
Average cost
15.8742
Build CPU time
399.7971
Build memory
1536714166.2439
F measure
0.7755
Per class
Kappa
0.0826
KB relative information score
-5995.4835
Mean absolute error
0.2531
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
0.8165
Per class
Predictive accuracy
0.8376
Prior entropy
0.653
Recall
0.8376
Per class
Relative absolute error
0.9058
Root mean prior squared error
0.3738
Root mean squared error
0.3537
Root relative squared error
0.9463
SciMark benchmark
932.8322
Total cost
6341450