Run
50695

Run 50695

Task 1720 (Learning Curve) car 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
0.9764 ± 0.0078
Per class
Build CPU time
0.0004
Build memory
491054633.0182
F measure
0.8854 ± 0.0212
Per class
Kappa
0.753 ± 0.0446
KB relative information score
0.769 ± 0.0447
Mean absolute error
0.0602 ± 0.0109
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8877 ± 0.0241
Per class
Predictive accuracy
0.8848 ± 0.0208
Prior entropy
1.2058 ± 0.0093
Recall
0.8848 ± 0.0208
Per class
Relative absolute error
0.2628 ± 0.0476
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1893 ± 0.0178
Root relative squared error
0.56 ± 0.0527
SciMark benchmark
1316.1996