DEVELOPMENT... OpenML
Run
50571

Run 50571

Task 1742 (Learning Curve) spambase Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.ADTree(2)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1

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.

21 Evaluation measures

Area under ROC curve
0.9709 ± 0.0076
Per class
Build CPU time
0.2591
Build memory
1023527840.8571
F measure
0.9214 ± 0.0124
Per class
Kappa
0.835 ± 0.0261
KB relative information score
0.6552 ± 0.0225
Mean absolute error
0.183 ± 0.0107
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9214 ± 0.0124
Per class
Predictive accuracy
0.9215 ± 0.0123
Prior entropy
0.9674 ± 0.0006
Recall
0.9215 ± 0.0123
Per class
Relative absolute error
0.3833 ± 0.0225
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2611 ± 0.0122
Root relative squared error
0.5342 ± 0.0251
SciMark benchmark
1633.1623

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