DEVELOPMENT... OpenML
Run
157689

Run 157689

Task 1710 (Learning Curve) balance-scale 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.

20 Evaluation measures

Area under ROC curve
0.9699 ± 0.0126
Per class
Kappa
0.822 ± 0.0306
KB relative information score
0.4815 ± 0.0364
Mean absolute error
0.2082 ± 0.0148
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.904 ± 0.0167
Prior entropy
1.3181 ± 0.0124
Recall
0.904 ± 0.0167
Per class
Relative absolute error
0.5484 ± 0.0387
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2752 ± 0.0128
Root relative squared error
0.6319 ± 0.029
SciMark benchmark
642.8724
UserCPU time millis
10
UserCPU time millis training
10