Run
84165

Run 84165

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

weka.LogitBoost_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)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001
weka.LogitBoost_REPTree(1)_P100
weka.LogitBoost_REPTree(1)_L-1.7976931348623157E308
weka.LogitBoost_REPTree(1)_H1.0
weka.LogitBoost_REPTree(1)_Z3.0
weka.LogitBoost_REPTree(1)_O1
weka.LogitBoost_REPTree(1)_E1
weka.LogitBoost_REPTree(1)_S1
weka.LogitBoost_REPTree(1)_I10
weka.LogitBoost_REPTree(1)_Wweka.classifiers.trees.REPTree

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
0.7073
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
14.4241
Cross-validation details (10-fold Crossvalidation)
Build CPU time
155.2999
Cross-validation details (10-fold Crossvalidation)
Build memory
1601175208.2281
Cross-validation details (10-fold Crossvalidation)
F measure
0.7914
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1662
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-389.9163
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2432
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
0.7857
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8282
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8282
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.87
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3628
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9706
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1671.6466
Total cost
5762170
Cross-validation details (10-fold Crossvalidation)