DEVELOPMENT... OpenML
Run
199641

Run 199641

Task 1942 (Supervised Classification) BNG(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
0.5973
Per class
F measure
0.6347
Per class
Kappa
0.1944
KB relative information score
62795.6758
Mean absolute error
0.3655
Mean prior absolute error
0.4532
Number of instances
393660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6349
Per class
Predictive accuracy
0.6345
Prior entropy
0.9315
Recall
0.6345
Per class
Relative absolute error
0.8065
Root mean prior squared error
0.476
Root mean squared error
0.6046
Root relative squared error
1.2701
SciMark benchmark
1363.454
UserCPU time millis
110
UserCPU time millis testing
50
UserCPU time millis training
60