Run
50377

Run 50377

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.LWL_J48(2)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.LWL_J48(2)_Atrue
weka.LWL_J48(2)_K-1
weka.LWL_J48(2)_U0
weka.LWL_J48(2)_Wweka.classifiers.trees.J48

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
0.9705 ± 0.0186
Per class
Build CPU time
0.0002
Build memory
688443853.7778
F measure
0.9581 ± 0.0243
Per class
Kappa
0.9072 ± 0.0535
KB relative information score
0.8913 ± 0.0536
Mean absolute error
0.049 ± 0.023
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
0.9582 ± 0.0242
Per class
Predictive accuracy
0.9582 ± 0.0241
Prior entropy
0.931 ± 0.0039
Recall
0.9582 ± 0.0241
Per class
Relative absolute error
0.1081 ± 0.0506
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.1919 ± 0.055
Root relative squared error
0.4032 ± 0.1151
SciMark benchmark
1508.8083