Run
89027

Run 89027

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 06-12-2014 by Roy van den Hurk
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Flow

weka.AdaBoostM1_REPTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(2)_I1
weka.AdaBoostM1_REPTree(2)_P90
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
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
0.697
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
15.3816
Cross-validation details (10-fold Crossvalidation)
Build CPU time
12.2958
Cross-validation details (10-fold Crossvalidation)
Build memory
1319341397.3976
Cross-validation details (10-fold Crossvalidation)
F measure
0.7826
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1156
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4303.4866
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.252
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 8.1, 6.3]
Precision
0.7962
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8355
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8355
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9017
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3596
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.962
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1444.1151
Total cost
6144680
Cross-validation details (10-fold Crossvalidation)