Run
504776

Run 504776

Task 1742 (Learning Curve) spambase 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
0.5939 ± 0.0231
Per class
F measure
0.4479 ± 0.0423
Per class
Kappa
0.1512 ± 0.0367
KB relative information score
-207.5608 ± 25.5407
Mean absolute error
0.4893 ± 0.026
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7335 ± 0.0421
Per class
Predictive accuracy
0.5105 ± 0.026
Prior entropy
0.9674
Recall
0.5105 ± 0.026
Per class
Relative absolute error
1.0245 ± 0.0545
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.6993 ± 0.0187
Root relative squared error
1.4311 ± 0.0382
SciMark benchmark
921.4077
UserCPU time millis
3760
UserCPU time millis testing
2550
UserCPU time millis training
1210