Run
504046

Run 504046

Task 10081 (Learning Curve) pc2 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
0.4993 ± 0.0023
Per class
F measure
0.9931
Per class
Kappa
-0.0021 ± 0.0018
KB relative information score
-715.1308 ± 498.5598
Mean absolute error
0.0055 ± 0.0044
Mean prior absolute error
0.0084 ± 0.0009
Number of instances
5589
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9918
Per class
Predictive accuracy
0.9945 ± 0.0044
Prior entropy
0.0399
Recall
0.9945 ± 0.0044
Per class
Relative absolute error
0.6625 ± 0.5693
Root mean prior squared error
0.064 ± 0.0064
Root mean squared error
0.0745 ± 0.0229
Root relative squared error
1.1634 ± 0.3915
SciMark benchmark
929.0201
UserCPU time millis
1120
UserCPU time millis testing
800
UserCPU time millis training
320