DEVELOPMENT... OpenML
Run
157722

Run 157722

Task 1757 (Learning Curve) waveform-5000 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
0.956 ± 0.0062
Per class
F measure
0.7889 ± 0.018
Per class
Kappa
0.7017 ± 0.024
KB relative information score
0.7254 ± 0.0195
Mean absolute error
0.1356 ± 0.0092
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.835 ± 0.0131
Per class
Predictive accuracy
0.8008 ± 0.0161
Prior entropy
1.5849 ± 0
Recall
0.8008 ± 0.0161
Per class
Relative absolute error
0.3051 ± 0.0207
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3368 ± 0.0146
Root relative squared error
0.7145 ± 0.0309
SciMark benchmark
646.4525
UserCPU time millis
660
UserCPU time millis testing
280
UserCPU time millis training
380