Run
50665

Run 50665

Task 1752 (Learning Curve) vehicle 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
0.8018 ± 0.035
Per class
Build CPU time
0.0013
Build memory
858809121.7778
F measure
0.7027 ± 0.0512
Per class
Kappa
0.6043 ± 0.0698
KB relative information score
0.6425 ± 0.0634
Mean absolute error
0.1483 ± 0.0261
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7024 ± 0.0492
Per class
Predictive accuracy
0.7033 ± 0.0522
Prior entropy
1.9991 ± 0.0005
Recall
0.7033 ± 0.0522
Per class
Relative absolute error
0.3958 ± 0.0696
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3852 ± 0.0359
Root relative squared error
0.8897 ± 0.083
SciMark benchmark
1684.583