DEVELOPMENT... OpenML
Run
199574

Run 199574

Task 1819 (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
0.9046
Per class
F measure
0.9123
Per class
Kappa
0.8145
KB relative information score
1764.4736
Mean absolute error
0.0874
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9124
Per class
Predictive accuracy
0.9126
Prior entropy
0.9627
Recall
0.9126
Per class
Relative absolute error
0.1842
Root mean prior squared error
0.4869
Root mean squared error
0.2956
Root relative squared error
0.6071
SciMark benchmark
940.3347

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