Run
50678

Run 50678

Task 2102 (Learning Curve) eucalyptus Uploaded 06-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.7202 ± 0.0398
Per class
Build CPU time
0.0036
Build memory
650251236.4
F measure
0.4222 ± 0.0298
Per class
Kappa
0.2723 ± 0.0452
KB relative information score
0.3211 ± 0.0281
Mean absolute error
0.2413 ± 0.0076
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
0.4235 ± 0.0578
Per class
Predictive accuracy
0.4429 ± 0.0362
Prior entropy
2.2621 ± 0.0043
Recall
0.4429 ± 0.0362
Per class
Relative absolute error
0.7704 ± 0.0243
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3888 ± 0.0176
Root relative squared error
0.9825 ± 0.0442
SciMark benchmark
1684.583