Run
14773

Run 14773

Task 15 (Supervised Classification) breast-w Uploaded 23-05-2014 by Joaquin Vanschoren
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Flow

weka.HoeffdingTree(1)Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
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
0.9788
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9602
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9127
Cross-validation details (10-fold Crossvalidation)
KB relative information score
634.1791
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.04
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9616
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9599
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0885
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1986
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4179
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
906.6032[564.2965366531771857.5678798364443484.7593072718849856.67975458157141769.7127006129608]