DEVELOPMENT... OpenML
Run
157712

Run 157712

Task 1736 (Learning Curve) diabetes 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
0.8143 ± 0.043
Per class
F measure
0.7485 ± 0.042
Per class
Kappa
0.4415 ± 0.0967
KB relative information score
0.3636 ± 0.0564
Mean absolute error
0.2876 ± 0.0234
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7472 ± 0.0455
Per class
Predictive accuracy
0.7513 ± 0.0401
Prior entropy
0.9331 ± 0.0046
Recall
0.7513 ± 0.0401
Per class
Relative absolute error
0.6327 ± 0.0508
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4227 ± 0.0312
Root relative squared error
0.8868 ± 0.0646
SciMark benchmark
646.4525
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10