Run
504018

Run 504018

Task 10055 (Learning Curve) kc1 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
0.5127 ± 0.0408
Per class
F measure
0.7837
Per class
Kappa
0.0417 ± 0.1082
KB relative information score
592.3594 ± 7.5023
Mean absolute error
0.1522 ± 0.0086
Mean prior absolute error
0.2616 ± 0.0016
Number of instances
2109
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.8246
Per class
Predictive accuracy
0.8478 ± 0.0086
Prior entropy
0.622
Recall
0.8478 ± 0.0086
Per class
Relative absolute error
0.5819 ± 0.0311
Root mean prior squared error
0.3615 ± 0.0023
Root mean squared error
0.3901 ± 0.0114
Root relative squared error
1.0792 ± 0.0285
SciMark benchmark
1154.5084
UserCPU time millis
200
UserCPU time millis testing
140
UserCPU time millis training
60