Run
50700

Run 50700

Task 1722 (Learning Curve) cmc 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
0.6784 ± 0.0306
Per class
Build CPU time
0.0015
Build memory
858687329.28
F measure
0.5156 ± 0.0472
Per class
Kappa
0.2481 ± 0.0715
KB relative information score
0.2206 ± 0.029
Mean absolute error
0.3655 ± 0.0093
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5158 ± 0.0481
Per class
Predictive accuracy
0.5166 ± 0.0478
Prior entropy
1.539 ± 0.0029
Recall
0.5166 ± 0.0478
Per class
Relative absolute error
0.8483 ± 0.022
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.452 ± 0.0135
Root relative squared error
0.974 ± 0.0295
SciMark benchmark
1316.1996