Run
504014

Run 504014

Task 10052 (Learning Curve) hiva_agnostic 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
0.5423 ± 0.0549
Per class
F measure
0.9529 ± 0.0076
Per class
Kappa
0.1419 ± 0.1494
KB relative information score
970.1934 ± 32.5637
Mean absolute error
0.0348 ± 0.004
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9526 ± 0.0171
Per class
Predictive accuracy
0.9652 ± 0.004
Prior entropy
0.221
Recall
0.9652 ± 0.004
Per class
Relative absolute error
0.5098 ± 0.0558
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.1864 ± 0.0111
Root relative squared error
1.0112 ± 0.053
SciMark benchmark
903.7858
UserCPU time millis
8940
UserCPU time millis testing
6130
UserCPU time millis training
2810