Run
2851

Run 2851

Task 75 (Learning Curve) mfeat-karhunen Uploaded 28-04-2014 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
0.9931 ± 0.0036
Per class
F measure
0.9356 ± 0.0157
Per class
Kappa
0.9281 ± 0.0175
KB relative information score
0.9357 ± 0.0152
Mean absolute error
0.0136 ± 0.003
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9372 ± 0.0145
Per class
Predictive accuracy
0.9353 ± 0.0158
Prior entropy
3.3219
Recall
0.9353 ± 0.0158
Per class
Relative absolute error
0.0755 ± 0.0167
Root mean prior squared error
0.3
Root mean squared error
0.1053 ± 0.0133
Root relative squared error
0.351 ± 0.0442
SciMark benchmark
857.0401