OpenML
85660

Run 85660

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 02-12-2014 by Stephan Oostveen
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I20
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots4
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M6
weka.REPTree(5)_N2
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.7173
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
15.6711
Cross-validation details (10-fold Crossvalidation)
Build CPU time
60.0836
Cross-validation details (10-fold Crossvalidation)
Build memory
1715580489.004
Cross-validation details (10-fold Crossvalidation)
F measure
0.7794
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0993
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-976.3317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2522
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2795
Cross-validation details (10-fold Crossvalidation)
Number of instances
399482
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_25, amd64, Windows 7, 6.1]
Precision
0.816
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8386
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8386
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9022
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3539
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9467
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1608.971
Total cost
6260340
Cross-validation details (10-fold Crossvalidation)