Run
503361

Run 503361

Task 10042 (Learning Curve) ada_prior Uploaded 28-12-2015 by Jan van Rijn
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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
0.5295 ± 0.0139
Per class
F measure
0.6787 ± 0.0147
Per class
Kappa
0.0856 ± 0.0394
KB relative information score
1349.8358 ± 10.7003
Mean absolute error
0.235 ± 0.0079
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7908 ± 0.0404
Per class
Predictive accuracy
0.765 ± 0.0079
Prior entropy
0.8085
Recall
0.765 ± 0.0079
Per class
Relative absolute error
0.6297 ± 0.0211
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.4848 ± 0.0082
Root relative squared error
1.1223 ± 0.0188
SciMark benchmark
1678.2337
UserCPU time millis
2350
UserCPU time millis testing
1580
UserCPU time millis training
770