DEVELOPMENT... OpenML
Run
50512

Run 50512

Task 1748 (Learning Curve) tic-tac-toe Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_RandomTree(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.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.LWL_RandomTree(2)_Atrue
weka.LWL_RandomTree(2)_K-1
weka.LWL_RandomTree(2)_U0
weka.LWL_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.8597 ± 0.0329
Per class
Build CPU time
0.0001
Build memory
303310185.0667
F measure
0.8702 ± 0.0301
Per class
Kappa
0.7126 ± 0.0661
KB relative information score
0.6898 ± 0.0656
Mean absolute error
0.1354 ± 0.029
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
0.8699 ± 0.0297
Per class
Predictive accuracy
0.8706 ± 0.03
Prior entropy
0.931 ± 0.0039
Recall
0.8706 ± 0.03
Per class
Relative absolute error
0.2988 ± 0.0636
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.357 ± 0.0383
Root relative squared error
0.7502 ± 0.0797
SciMark benchmark
1615.5755