Run
89129

Run 89129

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 08-12-2014 by Richie Brondenstein
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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-slots4
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)_O4
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
Cross-validation details (10-fold Crossvalidation)
Average cost
15.8742
Cross-validation details (10-fold Crossvalidation)
Build CPU time
181.4578
Cross-validation details (10-fold Crossvalidation)
Build memory
2067027250.1105
Cross-validation details (10-fold Crossvalidation)
F measure
0.7755
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0826
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5995.4835
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2531
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
[Sun Microsystems Inc., 1.6.0_45, amd64, Windows 8, 6.2]
Precision
0.8165
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8376
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8376
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9058
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3537
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9463
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
951.7352
Total cost
6341450
Cross-validation details (10-fold Crossvalidation)