Run
504064

Run 504064

Task 7535 (Learning Curve) monks-problems-2 Uploaded 30-12-2015 by Joaquin Vanschoren
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Flow

weka.Winnow(4)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(4)_I1
weka.Winnow(4)_A2.0
weka.Winnow(4)_B0.5
weka.Winnow(4)_H-1.0
weka.Winnow(4)_W2.0
weka.Winnow(4)_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
0.522 ± 0.085
Per class
F measure
0.5544 ± 0.1031
Per class
Kappa
0.0419 ± 0.1611
KB relative information score
-31.6158 ± 16.1925
Mean absolute error
0.4542 ± 0.1162
Mean prior absolute error
0.4507 ± 0.0026
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
0.5688 ± 0.082
Per class
Predictive accuracy
0.5458 ± 0.1162
Prior entropy
0.9279
Recall
0.5458 ± 0.1162
Per class
Relative absolute error
1.0078 ± 0.258
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.674 ± 0.0881
Root relative squared error
1.42 ± 0.1861
SciMark benchmark
929.0201