DEVELOPMENT... OpenML
Run
199628

Run 199628

Task 1929 (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
0.627
Per class
F measure
0.672
Per class
Kappa
0.2643
KB relative information score
2519.8893
Mean absolute error
0.3203
Mean prior absolute error
0.453
Number of instances
9580
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6689
Per class
Predictive accuracy
0.6797
Prior entropy
0.9312
Recall
0.6797
Per class
Relative absolute error
0.7069
Root mean prior squared error
0.4759
Root mean squared error
0.5659
Root relative squared error
1.1892
SciMark benchmark
940.3347
UserCPU time millis
10
UserCPU time millis training
10