Run
504047

Run 504047

Task 10084 (Learning Curve) profb 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
0.5169 ± 0.0322
Per class
F measure
0.5633 ± 0.032
Per class
Kappa
0.0466 ± 0.0693
KB relative information score
156.96 ± 3.3165
Mean absolute error
0.3245 ± 0.0215
Mean prior absolute error
0.4446 ± 0.0026
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6879 ± 0.1173
Per class
Predictive accuracy
0.6756 ± 0.0216
Prior entropy
0.9188
Recall
0.6756 ± 0.0216
Per class
Relative absolute error
0.7298 ± 0.0478
Root mean prior squared error
0.4714 ± 0.0027
Root mean squared error
0.5696 ± 0.0191
Root relative squared error
1.2082 ± 0.0397
SciMark benchmark
914.23
UserCPU time millis
80
UserCPU time millis testing
50
UserCPU time millis training
30