DEVELOPMENT... OpenML
Run
199635

Run 199635

Task 1935 (Supervised Classification) vote 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
0.8935
Per class
F measure
0.9044
Per class
Kappa
0.7972
KB relative information score
3457.7811
Mean absolute error
0.0949
Mean prior absolute error
0.4742
Number of instances
4350
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.905
Per class
Predictive accuracy
0.9051
Prior entropy
0.9627
Recall
0.9051
Per class
Relative absolute error
0.2002
Root mean prior squared error
0.4869
Root mean squared error
0.3081
Root relative squared error
0.6329
SciMark benchmark
889.3151

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