DEVELOPMENT... OpenML
Run
157742

Run 157742

Task 2098 (Learning Curve) abalone 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
0.7074 ± 0.0084
Per class
Kappa
0.1393 ± 0.0207
KB relative information score
0.2167 ± 0.0087
Mean absolute error
0.0558 ± 0.0006
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.2375 ± 0.0183
Prior entropy
3.6031 ± 0.0188
Recall
0.2375 ± 0.0183
Per class
Relative absolute error
0.9028 ± 0.0097
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1882 ± 0.0017
Root relative squared error
1.0711 ± 0.0097
SciMark benchmark
646.4525
UserCPU time millis
1810
UserCPU time millis testing
840
UserCPU time millis training
970

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