DEVELOPMENT... OpenML
Run
200666

Run 200666

Task 4592 (Supervised Classification) analcatdata_germangss 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
0.7206
Per class
F measure
0.7833
Per class
Kappa
0.4063
KB relative information score
1058.9732
Mean absolute error
0.2248
Mean prior absolute error
0.3495
Number of instances
4000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7959
Per class
Predictive accuracy
0.7753
Prior entropy
0.7716
Recall
0.7753
Per class
Relative absolute error
0.6431
Root mean prior squared error
0.4176
Root mean squared error
0.4741
Root relative squared error
1.1353
SciMark benchmark
869.6028