DEVELOPMENT... OpenML
Run
199584

Run 199584

Task 1856 (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
0.6033
Per class
F measure
0.6536
Per class
Kappa
0.2195
KB relative information score
46163.383
Mean absolute error
0.3329
Mean prior absolute error
0.4532
Number of instances
196830
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6506
Per class
Predictive accuracy
0.6671
Prior entropy
0.9315
Recall
0.6671
Per class
Relative absolute error
0.7345
Root mean prior squared error
0.476
Root mean squared error
0.577
Root relative squared error
1.212
SciMark benchmark
940.3347
UserCPU time millis
140
UserCPU time millis testing
70
UserCPU time millis training
70