Run
504784

Run 504784

Task 10049 (Learning Curve) delta_ailerons Uploaded 03-01-2016 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
0.9279 ± 0.012
Per class
F measure
0.9276 ± 0.0123
Per class
Kappa
0.8548 ± 0.0246
KB relative information score
6091.3756 ± 17.6466
Mean absolute error
0.0724 ± 0.0123
Mean prior absolute error
0.4981 ± 0
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9278 ± 0.0122
Per class
Predictive accuracy
0.9276 ± 0.0123
Prior entropy
0.9973
Recall
0.9276 ± 0.0123
Per class
Relative absolute error
0.1453 ± 0.0247
Root mean prior squared error
0.4991 ± 0
Root mean squared error
0.269 ± 0.0228
Root relative squared error
0.5391 ± 0.0456
SciMark benchmark
914.23
UserCPU time millis
500
UserCPU time millis testing
360
UserCPU time millis training
140