Run
50723

Run 50723

Task 1748 (Learning Curve) tic-tac-toe 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
0.8724 ± 0.0532
Per class
Build CPU time
0.0006
Build memory
869374701.3333
F measure
0.814 ± 0.045
Per class
Kappa
0.584 ± 0.1014
KB relative information score
0.5164 ± 0.1124
Mean absolute error
0.2177 ± 0.0498
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8144 ± 0.045
Per class
Predictive accuracy
0.8173 ± 0.0432
Prior entropy
0.931 ± 0.0039
Recall
0.8173 ± 0.0432
Per class
Relative absolute error
0.4806 ± 0.11
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3635 ± 0.0464
Root relative squared error
0.7638 ± 0.0979
SciMark benchmark
1316.1996