Run
47201

Run 47201

Task 2102 (Learning Curve) eucalyptus Uploaded 05-11-2014 by Jan van Rijn
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  • 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.

21 Evaluation measures

Area under ROC curve
0.7842 ± 0.0301
Per class
Build CPU time
0.005
Build memory
1462751960.6
F measure
0.5861 ± 0.0365
Per class
Kappa
0.4668 ± 0.0508
KB relative information score
0.5141 ± 0.0383
Mean absolute error
0.1713 ± 0.0132
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
0.6203 ± 0.0386
Per class
Predictive accuracy
0.5829 ± 0.0415
Prior entropy
2.2621 ± 0.0043
Recall
0.5829 ± 0.0415
Per class
Relative absolute error
0.5467 ± 0.0418
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3746 ± 0.0219
Root relative squared error
0.9467 ± 0.0549
SciMark benchmark
1445.6628