Run
46572

Run 46572

Task 1701 (Learning Curve) anneal Uploaded 03-11-2014 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M5
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
0.9633 ± 0.0111
Per class
Build CPU time
0.0031
Build memory
105940944.7111
F measure
0.8886 ± 0.0267
Per class
Kappa
0.7179 ± 0.0697
KB relative information score
0.6911 ± 0.0313
Mean absolute error
0.0518 ± 0.006
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8859 ± 0.0243
Per class
Predictive accuracy
0.8942 ± 0.0256
Prior entropy
1.1915 ± 0.026
Recall
0.8942 ± 0.0256
Per class
Relative absolute error
0.386 ± 0.0439
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.156 ± 0.0126
Root relative squared error
0.604 ± 0.0476
SciMark benchmark
1736.8514