Run
504772

Run 504772

Task 1728 (Learning Curve) credit-approval 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
0.628 ± 0.0544
Per class
F measure
0.6312 ± 0.0539
Per class
Kappa
0.2554 ± 0.109
KB relative information score
170.9657 ± 7.545
Mean absolute error
0.3696 ± 0.0535
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6325 ± 0.0536
Per class
Predictive accuracy
0.6304 ± 0.0535
Prior entropy
0.9913
Recall
0.6304 ± 0.0535
Per class
Relative absolute error
0.7482 ± 0.1086
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.6079 ± 0.0432
Root relative squared error
1.2233 ± 0.0874
SciMark benchmark
925.5951
UserCPU time millis
50
UserCPU time millis testing
30
UserCPU time millis training
20