DEVELOPMENT... OpenML
Run
157714

Run 157714

Task 1740 (Learning Curve) soybean 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

0.9944 ± 0.0029
Per class
0.9246 ± 0.0352
Per class
0.9181 ± 0.037
0.9338 ± 0.0223
0.0096 ± 0.0027
0.0961 ± 0.0001
683
Per class
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9341 ± 0.0275
Per class
0.9253 ± 0.0337
3.8358 ± 0.0227
0.9253 ± 0.0337
Per class
0.0995 ± 0.0282
0.2191 ± 0.0002
0.0817 ± 0.0161
0.3728 ± 0.0733
646.4525
170
90
80

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