DEVELOPMENT... OpenML
Run
54114

Run 54114

Task 1710 (Learning Curve) balance-scale Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.8232 ± 0.0642
Per class
Build CPU time
0.0011
Build memory
214156998.6
Kappa
0.4837 ± 0.1206
KB relative information score
0.3389 ± 0.0557
Mean absolute error
0.254 ± 0.022
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
0.7216 ± 0.0653
Prior entropy
1.3181 ± 0.0124
Recall
0.7216 ± 0.0653
Per class
Relative absolute error
0.6688 ± 0.0575
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3664 ± 0.029
Root relative squared error
0.8412 ± 0.0669
SciMark benchmark
1615.5755