Run
652

Run 652

Task 70 (Learning Curve) balance-scale Uploaded 07-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.9704 ± 0.0108
Per class
Kappa
0.8258 ± 0.0277
KB relative information score
0.4825 ± 0.0316
Mean absolute error
0.2082 ± 0.0123
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.9061 ± 0.0151
Prior entropy
1.3181 ± 0.0119
Recall
0.9061 ± 0.0151
Per class
Relative absolute error
0.5483 ± 0.0322
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2752 ± 0.0117
Root relative squared error
0.6319 ± 0.0266
SciMark benchmark
891.4702