Run
1323

Run 1323

Task 98 (Learning Curve) sonar Uploaded 17-04-2014 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.

19 Evaluation measures

Area under ROC curve
0.8049 ± 0.104
Per class
F measure
0.686 ± 0.1045
Per class
Kappa
0.3864 ± 0.1957
KB relative information score
0.3716 ± 0.1906
Mean absolute error
0.3122 ± 0.0932
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7098 ± 0.1058
Per class
Predictive accuracy
0.6889 ± 0.1004
Prior entropy
0.9967 ± 0.0043
Recall
0.6889 ± 0.1004
Per class
Relative absolute error
0.6272 ± 0.1876
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.5268 ± 0.0899
Root relative squared error
1.056 ± 0.1805
SciMark benchmark
1138.795