DEVELOPMENT... OpenML
Run
157686

Run 157686

Task 1701 (Learning Curve) anneal 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
0.4915
Per class
KB relative information score
-0.0014 ± 0.0016
Mean absolute error
0.1344 ± 0.0011
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.7617 ± 0.0054
Prior entropy
1.1915 ± 0.026
Recall
0.7617 ± 0.0054
Per class
Relative absolute error
1.0008 ± 0.0011
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.2582 ± 0.0024
Root relative squared error
1 ± 0
SciMark benchmark
646.4525
UserCPU time millis
30
UserCPU time millis training
30