Run
50681

Run 50681

Task 1710 (Learning Curve) balance-scale 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
0.8636 ± 0.0411
Per class
Build CPU time
0.0005
Build memory
574292777
F measure
0.761
Per class
Kappa
0.6151 ± 0.079
KB relative information score
0.4943 ± 0.0557
Mean absolute error
0.1928 ± 0.0247
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7329
Per class
Predictive accuracy
0.792 ± 0.0427
Prior entropy
1.3181 ± 0.0124
Recall
0.792 ± 0.0427
Per class
Relative absolute error
0.5076 ± 0.0652
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3339 ± 0.0306
Root relative squared error
0.7665 ± 0.0698
SciMark benchmark
1684.583