Run
504785

Run 504785

Task 10051 (Learning Curve) gina_prior 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
0.8684 ± 0.0267
Per class
F measure
0.8679 ± 0.0267
Per class
Kappa
0.7359 ± 0.0535
KB relative information score
2551.6297 ± 18.4323
Mean absolute error
0.1321 ± 0.0268
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8681 ± 0.0269
Per class
Predictive accuracy
0.8679 ± 0.0267
Prior entropy
0.9998
Recall
0.8679 ± 0.0267
Per class
Relative absolute error
0.2642 ± 0.0536
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3632 ± 0.0364
Root relative squared error
0.7265 ± 0.0728
SciMark benchmark
869.4058
UserCPU time millis
11400
UserCPU time millis testing
7750
UserCPU time millis training
3650