DEVELOPMENT... OpenML
Run
61384

Run 61384

Task 1714 (Learning Curve) breast-w Uploaded 16-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I10
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

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
0.9837 ± 0.0142
Per class
Build CPU time
0.003
Build memory
857952822.2
F measure
0.9456 ± 0.029
Per class
Kappa
0.8797 ± 0.0638
KB relative information score
0.8719 ± 0.063
Mean absolute error
0.0561 ± 0.0268
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
0.9456 ± 0.0278
Per class
Predictive accuracy
0.9456 ± 0.0292
Prior entropy
0.9293 ± 0.0043
Recall
0.9456 ± 0.0292
Per class
Relative absolute error
0.1241 ± 0.0595
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2216 ± 0.0769
Root relative squared error
0.4662 ± 0.162
SciMark benchmark
1591.1714