DEVELOPMENT... OpenML
Run
199451

Run 199451

Task 49 (Supervised Classification) tic-tac-toe Uploaded 27-02-2015 by Felicia West
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Flow

weka.Winnow(3)N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz.
weka.Winnow(3)_I1
weka.Winnow(3)_A2.0
weka.Winnow(3)_B0.5
weka.Winnow(3)_H-1.0
weka.Winnow(3)_W2.0
weka.Winnow(3)_S1

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.

22 Evaluation measures

Area under ROC curve
0.6188
Per class
F measure
0.6702
Per class
Kappa
0.2552
KB relative information score
265.3303
Mean absolute error
0.3142
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6697
Per class
Predictive accuracy
0.6858
Prior entropy
0.9312
Recall
0.6858
Per class
Relative absolute error
0.6936
Root mean prior squared error
0.4759
Root mean squared error
0.5605
Root relative squared error
1.1779
SciMark benchmark
940.3347