DEVELOPMENT... OpenML
Run
199954

Run 199954

Task 3691 (Supervised Classification) sensory 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
0.5079
Per class
F measure
0.5047
Per class
Kappa
0.0151
KB relative information score
-22.635
Mean absolute error
0.4983
Mean prior absolute error
0.4856
Number of instances
576
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5222
Per class
Predictive accuracy
0.5017
Prior entropy
0.9792
Recall
0.5017
Per class
Relative absolute error
1.0261
Root mean prior squared error
0.4927
Root mean squared error
0.7059
Root relative squared error
1.4326
SciMark benchmark
940.3347