Run
5751

Run 5751

Task 89 (Learning Curve) page-blocks Uploaded 06-05-2014 by Jan van Rijn
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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
0.789 ± 0.221
Per class
F measure
0.8938 ± 0.0126
Per class
Kappa
0.3937 ± 0.2865
KB relative information score
0.1719 ± 0.1849
Mean absolute error
0.0584 ± 0.0179
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9041 ± 0.0076
Per class
Predictive accuracy
0.9007 ± 0.0143
Prior entropy
0.6355 ± 0.0053
Recall
0.9007 ± 0.0143
Per class
Relative absolute error
0.7665 ± 0.2357
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.189 ± 0.0127
Root relative squared error
0.9702 ± 0.0654
SciMark benchmark
883.5665