Run
50662

Run 50662

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.RandomTree(2)Weka implementation of RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.9248 ± 0.0322
Per class
Build CPU time
0.0003
Build memory
1411733297.9636
F measure
0.817 ± 0.0508
Per class
Kappa
0.5985 ± 0.1115
KB relative information score
0.6797 ± 0.0715
Mean absolute error
0.0787 ± 0.0172
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
0.8151 ± 0.0528
Per class
Predictive accuracy
0.8194 ± 0.046
Prior entropy
1.2058 ± 0.0093
Recall
0.8194 ± 0.046
Per class
Relative absolute error
0.3438 ± 0.0743
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.242 ± 0.0311
Root relative squared error
0.7156 ± 0.0906
SciMark benchmark
1633.1623