DEVELOPMENT... OpenML
Run
199740

Run 199740

Task 3055 (Supervised Classification) monks-problems-3 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
0.967
Per class
F measure
0.9617
Per class
Kappa
0.9219
KB relative information score
166.6647
Mean absolute error
0.0385
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9648
Per class
Predictive accuracy
0.9615
Prior entropy
0.9989
Recall
0.9615
Per class
Relative absolute error
0.0774
Root mean prior squared error
0.4971
Root mean squared error
0.1961
Root relative squared error
0.3945
SciMark benchmark
869.6028