DEVELOPMENT... OpenML
Run
873

Run 873

Task 74 (Learning Curve) breast-w Uploaded 08-04-2014 by Mandy
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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
0.9786 ± 0.0148
Per class
F measure
0.9598 ± 0.0207
Per class
Kappa
0.9118 ± 0.0449
KB relative information score
0.9068 ± 0.0479
Mean absolute error
0.0404 ± 0.0207
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9611 ± 0.0192
Per class
Predictive accuracy
0.9595 ± 0.021
Prior entropy
0.9293 ± 0.0041
Recall
0.9595 ± 0.021
Per class
Relative absolute error
0.0894 ± 0.0459
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.1984 ± 0.0653
Root relative squared error
0.4174 ± 0.1373
SciMark benchmark
890.5438