Run
46575

Run 46575

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.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
0.927 ± 0.0468
Per class
Build CPU time
0.0032
Build memory
148868805.0667
F measure
0.9332 ± 0.0306
Per class
Kappa
0.8337 ± 0.0727
KB relative information score
0.8047 ± 0.0467
Mean absolute error
0.0289 ± 0.0072
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
0.9333 ± 0.0302
Per class
Predictive accuracy
0.9332 ± 0.0291
Prior entropy
1.1915 ± 0.026
Recall
0.9332 ± 0.0291
Per class
Relative absolute error
0.2154 ± 0.0525
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1397 ± 0.0267
Root relative squared error
0.5411 ± 0.1012
SciMark benchmark
1736.8514