DEVELOPMENT... OpenML
Run
200469

Run 200469

Task 4396 (Supervised Classification) sensory 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
0.5473
Per class
F measure
0.5627
Per class
Kappa
0.0955
KB relative information score
536.9568
Mean absolute error
0.4347
Mean prior absolute error
0.4856
Number of instances
5760
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.561
Per class
Predictive accuracy
0.5653
Prior entropy
0.9792
Recall
0.5653
Per class
Relative absolute error
0.8953
Root mean prior squared error
0.4927
Root mean squared error
0.6593
Root relative squared error
1.3382
SciMark benchmark
889.3151