Run
504777

Run 504777

Task 7535 (Learning Curve) monks-problems-2 Uploaded 03-01-2016 by Joaquin Vanschoren
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Flow

weka.VotedPerceptron(5)Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
weka.VotedPerceptron(5)_I1
weka.VotedPerceptron(5)_E1.0
weka.VotedPerceptron(5)_S1
weka.VotedPerceptron(5)_M10000

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
0.4871 ± 0.0322
Per class
F measure
0.5343 ± 0.0369
Per class
Kappa
-0.0375 ± 0.0824
KB relative information score
62.7722 ± 6.0196
Mean absolute error
0.3866 ± 0.0428
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
0.5187 ± 0.1211
Per class
Predictive accuracy
0.614 ± 0.0424
Prior entropy
0.9279
Recall
0.614 ± 0.0424
Per class
Relative absolute error
0.8577 ± 0.0961
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.6209 ± 0.0353
Root relative squared error
1.3081 ± 0.0759
SciMark benchmark
925.5951
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10