DEVELOPMENT... OpenML
Run
199739

Run 199739

Task 3054 (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
0.509
Per class
F measure
0.5513
Per class
Kappa
0.0191
KB relative information score
6.2031
Mean absolute error
0.4293
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5439
Per class
Predictive accuracy
0.5707
Prior entropy
0.9279
Recall
0.5707
Per class
Relative absolute error
0.9356
Root mean prior squared error
0.4831
Root mean squared error
0.6552
Root relative squared error
1.3562
SciMark benchmark
889.3151