DEVELOPMENT... OpenML
Run
196072

Run 196072

Task 2102 (Learning Curve) eucalyptus Uploaded 26-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.8665 ± 0.0315
Per class
F measure
0.635 ± 0.0516
Per class
Kappa
0.5382 ± 0.067
KB relative information score
0.5732 ± 0.0475
Mean absolute error
0.1505 ± 0.0155
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.6329 ± 0.0486
Per class
Predictive accuracy
0.6386 ± 0.0541
Prior entropy
2.2621 ± 0.0043
Recall
0.6386 ± 0.0541
Per class
Relative absolute error
0.4805 ± 0.0494
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3512 ± 0.0199
Root relative squared error
0.8875 ± 0.0502
SciMark benchmark
1572.5758
UserCPU time millis
47590
UserCPU time millis testing
70
UserCPU time millis training
47520