DEVELOPMENT... OpenML
Run
200154

Run 200154

Task 3887 (Supervised Classification) analcatdata_germangss Uploaded 27-02-2015 by Jason
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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
0.6627
Per class
F measure
0.7842
Per class
Kappa
0.3564
KB relative information score
131.6312
Mean absolute error
0.205
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7794
Per class
Predictive accuracy
0.795
Prior entropy
0.7716
Recall
0.795
Per class
Relative absolute error
0.5865
Root mean prior squared error
0.4176
Root mean squared error
0.4528
Root relative squared error
1.0843
SciMark benchmark
1335.643