DEVELOPMENT... OpenML
Run
61376

Run 61376

Task 1710 (Learning Curve) balance-scale 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.

19 Evaluation measures

Area under ROC curve
0.888 ± 0.0572
Per class
Build CPU time
0.0023
Build memory
1258945410.3
Kappa
0.549 ± 0.0992
KB relative information score
0.4556 ± 0.0645
Mean absolute error
0.1992 ± 0.0273
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7568 ± 0.0533
Prior entropy
1.3181 ± 0.0124
Recall
0.7568 ± 0.0533
Per class
Relative absolute error
0.5246 ± 0.0715
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3325 ± 0.0355
Root relative squared error
0.7633 ± 0.0813
SciMark benchmark
1559.5381