DEVELOPMENT... OpenML
Run
199756

Run 199756

Task 3493 (Supervised Classification) monks-problems-2 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
0.5017
Per class
F measure
0.5422
Per class
Kappa
0.0032
KB relative information score
-45.5125
Mean absolute error
0.4642
Mean prior absolute error
0.4507
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5509
Per class
Predictive accuracy
0.5358
Prior entropy
0.9279
Recall
0.5358
Per class
Relative absolute error
1.03
Root mean prior squared error
0.4746
Root mean squared error
0.6813
Root relative squared error
1.4355
SciMark benchmark
940.3347