Run
504778

Run 504778

Task 10041 (Learning Curve) ada_agnostic 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
0.5846 ± 0.0142
Per class
F measure
0.7299 ± 0.0116
Per class
Kappa
0.2234 ± 0.0333
KB relative information score
1572.9477 ± 8.1044
Mean absolute error
0.2187 ± 0.006
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7694 ± 0.0165
Per class
Predictive accuracy
0.7812 ± 0.0062
Prior entropy
0.8085
Recall
0.7812 ± 0.0062
Per class
Relative absolute error
0.586 ± 0.016
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.4675 ± 0.0064
Root relative squared error
1.0825 ± 0.0147
SciMark benchmark
925.5951
UserCPU time millis
2370
UserCPU time millis testing
1610
UserCPU time millis training
760