Run
504028

Run 504028

Task 10066 (Learning Curve) letter-challenge-unlabeled.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
0.6058 ± 0.0104
Per class
F measure
0.7736 ± 0.0131
Per class
Kappa
0.4188 ± 0.0355
KB relative information score
4020.632 ± 34.0206
Mean absolute error
0.2187 ± 0.0125
Mean prior absolute error
0.3997 ± 0.0027
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7709 ± 0.0136
Per class
Predictive accuracy
0.7812 ± 0.0125
Prior entropy
0.85
Recall
0.7812 ± 0.0125
Per class
Relative absolute error
0.5473 ± 0.0319
Root mean prior squared error
0.447 ± 0.0031
Root mean squared error
0.4676 ± 0.0135
Root relative squared error
1.0461 ± 0.0321
SciMark benchmark
914.23
UserCPU time millis
7060
UserCPU time millis testing
5620
UserCPU time millis training
1440