DEVELOPMENT... OpenML
Run
199570

Run 199570

Task 1813 (Supervised Classification) tic-tac-toe Uploaded 27-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6088
Per class
F measure
0.6587
Per class
Kappa
0.2307
KB relative information score
1167.9354
Mean absolute error
0.3286
Mean prior absolute error
0.453
Number of instances
4790
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6558
Per class
Predictive accuracy
0.6714
Prior entropy
0.9312
Recall
0.6714
Per class
Relative absolute error
0.7254
Root mean prior squared error
0.4759
Root mean squared error
0.5732
Root relative squared error
1.2046
SciMark benchmark
940.3347