Run
54725

Run 54725

Task 1742 (Learning Curve) spambase Uploaded 09-11-2014 by Joaquin Vanschoren
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Flow

weka.MultilayerPerceptron(2)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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.

21 Evaluation measures

Area under ROC curve
0.9632 ± 0.0116
Per class
Build CPU time
32.8864
Build memory
405329995.4857
F measure
0.9264 ± 0.011
Per class
Kappa
0.8459 ± 0.0227
KB relative information score
0.7983 ± 0.0301
Mean absolute error
0.1007 ± 0.0151
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9264 ± 0.0109
Per class
Predictive accuracy
0.9263 ± 0.0112
Prior entropy
0.9674 ± 0.0006
Recall
0.9263 ± 0.0112
Per class
Relative absolute error
0.2109 ± 0.0316
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2475 ± 0.0206
Root relative squared error
0.5065 ± 0.0422
SciMark benchmark
932.0962