Run
302885

Run 302885

Task 116 (Learning Curve) ionosphere Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.MultilayerPerceptronCS(1)Weka implementation of MultilayerPerceptronCS
weka.MultilayerPerceptronCS(1)_L0.3
weka.MultilayerPerceptronCS(1)_M0.2
weka.MultilayerPerceptronCS(1)_N500
weka.MultilayerPerceptronCS(1)_V0
weka.MultilayerPerceptronCS(1)_S0
weka.MultilayerPerceptronCS(1)_E20
weka.MultilayerPerceptronCS(1)_Ha

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
0.922 ± 0.0642
Per class
F measure
0.912 ± 0.0453
Per class
Kappa
0.8059 ± 0.0983
KB relative information score
0.7927 ± 0.0858
Mean absolute error
0.0945 ± 0.0378
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9176 ± 0.0381
Per class
Predictive accuracy
0.914 ± 0.0424
Prior entropy
0.9418 ± 0.0113
Recall
0.914 ± 0.0424
Per class
Relative absolute error
0.2053 ± 0.0817
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.278 ± 0.071
Root relative squared error
0.5795 ± 0.1471
SciMark benchmark
1383.5029
UserCPU time millis
3330
UserCPU time millis training
3330