Run
14815

Run 14815

Task 1717 (Learning Curve) mfeat-morphological Uploaded 03-06-2014 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
0.9482 ± 0.0058
Per class
F measure
0.62 ± 0.0269
Per class
Kappa
0.615 ± 0.0244
KB relative information score
0.6906 ± 0.0214
Mean absolute error
0.0715 ± 0.0027
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.6468 ± 0.0387
Per class
Predictive accuracy
0.6535 ± 0.022
Prior entropy
3.3219
Recall
0.6535 ± 0.022
Per class
Relative absolute error
0.3974 ± 0.015
Root mean prior squared error
0.3
Root mean squared error
0.2257 ± 0.0083
Root relative squared error
0.7522 ± 0.0276
SciMark benchmark
876.3864