DEVELOPMENT... OpenML
Run
200155

Run 200155

Task 3886 (Supervised Classification) soybean 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
0.7979
Per class
F measure
0.9243
Per class
Kappa
0.6594
KB relative information score
415.2727
Mean absolute error
0.0717
Mean prior absolute error
0.2339
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.924
Per class
Predictive accuracy
0.9283
Prior entropy
0.573
Recall
0.9283
Per class
Relative absolute error
0.3067
Root mean prior squared error
0.3414
Root mean squared error
0.2678
Root relative squared error
0.7845
SciMark benchmark
825.5282