Run
504029

Run 504029

Task 10065 (Learning Curve) letter-challenge-labeled.arff 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
0.6986 ± 0.0102
Per class
F measure
0.7777 ± 0.0074
Per class
Kappa
0.4235 ± 0.0197
KB relative information score
8185.2905 ± 39.311
Mean absolute error
0.214 ± 0.007
Mean prior absolute error
0.3968 ± 0.0001
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7752 ± 0.0077
Per class
Predictive accuracy
0.786 ± 0.007
Prior entropy
0.8456
Recall
0.786 ± 0.007
Per class
Relative absolute error
0.5394 ± 0.0178
Root mean prior squared error
0.4454 ± 0.0001
Root mean squared error
0.4626 ± 0.0076
Root relative squared error
1.0386 ± 0.0173
SciMark benchmark
940.4723
UserCPU time millis
16620
UserCPU time millis testing
11460
UserCPU time millis training
5160