Run
504048

Run 504048

Task 10085 (Learning Curve) sick Uploaded 30-12-2015 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
0.5041 ± 0.0143
Per class
F measure
0.9088 ± 0.0043
Per class
Kappa
0.0148 ± 0.0461
KB relative information score
748.544 ± 11.7801
Mean absolute error
0.0647 ± 0.0028
Mean prior absolute error
0.1152 ± 0.0007
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8914 ± 0.0141
Per class
Predictive accuracy
0.9353 ± 0.0028
Prior entropy
0.3333
Recall
0.9353 ± 0.0028
Per class
Relative absolute error
0.5616 ± 0.0231
Root mean prior squared error
0.2398 ± 0.0014
Root mean squared error
0.2543 ± 0.0056
Root relative squared error
1.0607 ± 0.0207
SciMark benchmark
914.23
UserCPU time millis
540
UserCPU time millis testing
330
UserCPU time millis training
210