Run
88995

Run 88995

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 05-12-2014 by Thomas Tiel Groenestege
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Flow

weka.Vote_Bagging_REPTree(1)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
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.Vote_Bagging_REPTree(1)_RAVG
weka.Vote_Bagging_REPTree(1)_S1
weka.Vote_Bagging_REPTree(1)_Bweka.classifiers.meta.Bagging

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
0.7163
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
15.0651
Cross-validation details (10-fold Crossvalidation)
F measure
0.7886
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1415
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1251.0568
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2459
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, x86_64, Mac OS X, 10.10.1]
Precision
0.8045
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8382
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8382
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8799
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3544
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.948
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1277.3694
Total cost
6018230
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
9699
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2718896
Cross-validation details (10-fold Crossvalidation)