Run
504025

Run 504025

Task 10060 (Learning Curve) JapaneseVowels 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
0.7056 ± 0.0293
Per class
F measure
0.8826 ± 0.0145
Per class
Kappa
0.5235 ± 0.0615
KB relative information score
5415.0138 ± 48.2735
Mean absolute error
0.1012 ± 0.011
Mean prior absolute error
0.2716 ± 0.0003
Number of instances
9961
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8994 ± 0.0147
Per class
Predictive accuracy
0.8987 ± 0.0109
Prior entropy
0.6393
Recall
0.8987 ± 0.0109
Per class
Relative absolute error
0.3728 ± 0.0401
Root mean prior squared error
0.3685 ± 0.0005
Root mean squared error
0.3181 ± 0.0167
Root relative squared error
0.8633 ± 0.0447
SciMark benchmark
914.23
UserCPU time millis
2740
UserCPU time millis testing
1870
UserCPU time millis training
870