DEVELOPMENT... OpenML
Run
52855

Run 52855

Task 1748 (Learning Curve) tic-tac-toe Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.NNge(2)Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.
weka.NNge(2)_G5
weka.NNge(2)_I5

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
0.8527 ± 0.0601
Per class
Build CPU time
0.0125
Build memory
3915481431.3778
F measure
0.8752 ± 0.0485
Per class
Kappa
0.7217 ± 0.1091
KB relative information score
0.7166 ± 0.1053
Mean absolute error
0.1232 ± 0.0461
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
0.8758 ± 0.0474
Per class
Predictive accuracy
0.8768 ± 0.0461
Prior entropy
0.931 ± 0.0039
Recall
0.8768 ± 0.0461
Per class
Relative absolute error
0.2719 ± 0.1013
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.351 ± 0.0661
Root relative squared error
0.7375 ± 0.138
SciMark benchmark
1629.4508