Run
504043

Run 504043

Task 10082 (Learning Curve) pc3 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
0.485 ± 0.0067
Per class
F measure
0.8356 ± 0.0063
Per class
Kappa
-0.0445 ± 0.0184
KB relative information score
105.2141 ± 13.4306
Mean absolute error
0.1292 ± 0.0125
Mean prior absolute error
0.1842 ± 0.0023
Number of instances
1563
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.8032 ± 0.0057
Per class
Predictive accuracy
0.8708 ± 0.0125
Prior entropy
0.478
Recall
0.8708 ± 0.0125
Per class
Relative absolute error
0.7017 ± 0.0655
Root mean prior squared error
0.3031 ± 0.0038
Root mean squared error
0.3595 ± 0.0178
Root relative squared error
1.1859 ± 0.0564
SciMark benchmark
1154.5084
UserCPU time millis
110
UserCPU time millis testing
80
UserCPU time millis training
30