Run
50707

Run 50707

Task 1730 (Learning Curve) credit-g 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
0.709 ± 0.0627
Per class
Build CPU time
0.0018
Build memory
569178550.3111
F measure
0.6956 ± 0.0307
Per class
Kappa
0.2503 ± 0.0772
KB relative information score
0.1564 ± 0.0578
Mean absolute error
0.3465 ± 0.0212
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6917 ± 0.034
Per class
Predictive accuracy
0.713 ± 0.0291
Prior entropy
0.8813
Recall
0.713 ± 0.0291
Per class
Relative absolute error
0.8247 ± 0.0505
Root mean prior squared error
0.4583
Root mean squared error
0.4491 ± 0.0246
Root relative squared error
0.9799 ± 0.0537
SciMark benchmark
1651.8608