DEVELOPMENT... OpenML
Run
50989

Run 50989

Task 2102 (Learning Curve) eucalyptus 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.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
0.7559 ± 0.0238
Per class
Build CPU time
0.0034
Build memory
687360502.7
F measure
0.5819 ± 0.0325
Per class
Kappa
0.4545 ± 0.0441
KB relative information score
0.132 ± 0.0642
Mean absolute error
0.298 ± 0.0166
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6137 ± 0.043
Per class
Predictive accuracy
0.5747 ± 0.039
Prior entropy
2.2621 ± 0.0043
Recall
0.5747 ± 0.039
Per class
Relative absolute error
0.9513 ± 0.053
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3779 ± 0.0113
Root relative squared error
0.955 ± 0.0286
SciMark benchmark
1662.0484