DEVELOPMENT... OpenML
Run
200282

Run 200282

Task 4198 (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
0.5057
Per class
F measure
0.5661
Per class
Kappa
0.0123
KB relative information score
327.7226
Mean absolute error
0.408
Mean prior absolute error
0.4507
Number of instances
6010
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5555
Per class
Predictive accuracy
0.592
Prior entropy
0.9279
Recall
0.592
Per class
Relative absolute error
0.9052
Root mean prior squared error
0.4746
Root mean squared error
0.6387
Root relative squared error
1.3458
SciMark benchmark
869.6028
UserCPU time millis
10
UserCPU time millis testing
10