DEVELOPMENT... OpenML
Run
24896

Run 24896

Task 30 (Supervised Classification) page-blocks Uploaded 19-07-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Wweka.classifiers.trees.HoeffdingTree
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.HoeffdingTree(1)_E1.0E-7
weka.HoeffdingTree(1)_G200.0
weka.HoeffdingTree(1)_H0.05
weka.HoeffdingTree(1)_L2
weka.HoeffdingTree(1)_M0.01
weka.HoeffdingTree(1)_N0.0
weka.HoeffdingTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9685
Per class
F measure
0.9436
Per class
Kappa
0.6968
KB relative information score
3479.1712
Mean absolute error
0.0236
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9461
Per class
Predictive accuracy
0.9435
Prior entropy
0.6391
Recall
0.9435
Per class
Relative absolute error
0.3095
Root mean prior squared error
0.1949
Root mean squared error
0.1389
Root relative squared error
0.7131
SciMark benchmark
939.2489[547.1269321918677995.8423494929701483.667533998868909.59057174132591760.0170946291457]