DEVELOPMENT... OpenML
Run
50552

Run 50552

Task 1714 (Learning Curve) breast-w 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
0.9897 ± 0.0085
Per class
Build CPU time
0.0064
Build memory
121345728.7
F measure
0.9571 ± 0.0243
Per class
Kappa
0.905 ± 0.0535
KB relative information score
0.8501 ± 0.0404
Mean absolute error
0.0728 ± 0.0163
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9571 ± 0.0233
Per class
Predictive accuracy
0.9571 ± 0.0243
Prior entropy
0.9293 ± 0.0043
Recall
0.9571 ± 0.0243
Per class
Relative absolute error
0.1611 ± 0.0359
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1812 ± 0.046
Root relative squared error
0.3813 ± 0.0966
SciMark benchmark
1648.2431