DEVELOPMENT... OpenML
Run
157700

Run 157700

Task 1721 (Learning Curve) mfeat-zernike 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
0.9521 ± 0.0086
Per class
F measure
0.7291 ± 0.0256
Per class
Kappa
0.6994 ± 0.0313
KB relative information score
0.7545 ± 0.0286
Mean absolute error
0.0539 ± 0.0056
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7295 ± 0.0222
Per class
Predictive accuracy
0.7295 ± 0.0281
Prior entropy
3.3219
Recall
0.7295 ± 0.0281
Per class
Relative absolute error
0.2994 ± 0.0311
Root mean prior squared error
0.3
Root mean squared error
0.2043 ± 0.0121
Root relative squared error
0.6811 ± 0.0404
SciMark benchmark
646.4525
UserCPU time millis
1670
UserCPU time millis testing
470
UserCPU time millis training
1200

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