DEVELOPMENT... OpenML
Run
157698

Run 157698

Task 1722 (Learning Curve) cmc Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.HoeffdingTree(3)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(3)_L2
weka.HoeffdingTree(3)_S1
weka.HoeffdingTree(3)_E1.0E-7
weka.HoeffdingTree(3)_H0.05
weka.HoeffdingTree(3)_M0.01
weka.HoeffdingTree(3)_G200.0
weka.HoeffdingTree(3)_N0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6809 ± 0.0177
Per class
F measure
0.506 ± 0.0358
Per class
Kappa
0.2484 ± 0.0477
KB relative information score
0.218 ± 0.0185
Mean absolute error
0.3719 ± 0.0083
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5209 ± 0.0286
Per class
Predictive accuracy
0.5017 ± 0.0365
Prior entropy
1.539 ± 0.0029
Recall
0.5017 ± 0.0365
Per class
Relative absolute error
0.8633 ± 0.0197
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.455 ± 0.0081
Root relative squared error
0.9803 ± 0.0179
SciMark benchmark
642.8724
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20