DEVELOPMENT... OpenML
Run
199532

Run 199532

Task 322 (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
0.6154
Per class
F measure
0.6602
Per class
Kappa
0.2391
KB relative information score
3052.8507
Mean absolute error
0.3327
Mean prior absolute error
0.4533
Number of instances
12990
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6567
Per class
Predictive accuracy
0.6673
Prior entropy
0.9315
Recall
0.6673
Per class
Relative absolute error
0.7341
Root mean prior squared error
0.4761
Root mean squared error
0.5768
Root relative squared error
1.2117
SciMark benchmark
1363.454
UserCPU time millis
140
UserCPU time millis testing
60
UserCPU time millis training
80