DEVELOPMENT... OpenML
Run
199757

Run 199757

Task 3492 (Supervised Classification) monks-problems-1 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
0.7356
Per class
F measure
0.7242
Per class
Kappa
0.4712
KB relative information score
262
Mean absolute error
0.2644
Mean prior absolute error
0.5
Number of instances
556
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7822
Per class
Predictive accuracy
0.7356
Prior entropy
1
Recall
0.7356
Per class
Relative absolute error
0.5288
Root mean prior squared error
0.5
Root mean squared error
0.5142
Root relative squared error
1.0284
SciMark benchmark
869.6028
UserCPU time millis
10
UserCPU time millis testing
10