Run
504045

Run 504045

Task 10083 (Learning Curve) pc4 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
0.4965 ± 0.0075
Per class
F measure
0.8178 ± 0.0035
Per class
Kappa
-0.0119 ± 0.0219
KB relative information score
333.4511 ± 11.3948
Mean absolute error
0.1283 ± 0.0123
Mean prior absolute error
0.2148 ± 0.0021
Number of instances
1458
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.7701 ± 0.0071
Per class
Predictive accuracy
0.8717 ± 0.0123
Prior entropy
0.5368
Recall
0.8717 ± 0.0123
Per class
Relative absolute error
0.5972 ± 0.0591
Root mean prior squared error
0.3274 ± 0.0032
Root mean squared error
0.3581 ± 0.0167
Root relative squared error
1.0939 ± 0.0545
SciMark benchmark
1154.5084
UserCPU time millis
110
UserCPU time millis testing
80
UserCPU time millis training
30