DEVELOPMENT... OpenML
Run
200131

Run 200131

Task 3862 (Supervised Classification) audiology 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
0.7449
Per class
F measure
0.8092
Per class
Kappa
0.4926
KB relative information score
99.0149
Mean absolute error
0.1903
Mean prior absolute error
0.3783
Number of instances
226
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8086
Per class
Predictive accuracy
0.8097
Prior entropy
0.8182
Recall
0.8097
Per class
Relative absolute error
0.503
Root mean prior squared error
0.4343
Root mean squared error
0.4362
Root relative squared error
1.0044
SciMark benchmark
1404.1865