DEVELOPMENT... OpenML
Run
50469

Run 50469

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

weka.LWL_RandomForest(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.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1
weka.LWL_RandomForest(2)_Atrue
weka.LWL_RandomForest(2)_K-1
weka.LWL_RandomForest(2)_U0
weka.LWL_RandomForest(2)_Wweka.classifiers.trees.RandomForest

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
0.9982 ± 0.0022
Per class
Build CPU time
0.0002
Build memory
1625280764.8889
F measure
0.9822 ± 0.0181
Per class
Kappa
0.9606 ± 0.0404
KB relative information score
0.6974 ± 0.0361
Mean absolute error
0.1643 ± 0.0164
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
0.9823 ± 0.0173
Per class
Predictive accuracy
0.9823 ± 0.0179
Prior entropy
0.931 ± 0.0039
Recall
0.9823 ± 0.0179
Per class
Relative absolute error
0.3626 ± 0.0357
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.2086 ± 0.0202
Root relative squared error
0.4383 ± 0.042
SciMark benchmark
1416.9083