DEVELOPMENT... OpenML
Run
176743

Run 176743

Task 1730 (Learning Curve) credit-g Uploaded 22-02-2015 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
0.7163 ± 0.0412
Per class
F measure
0.7126 ± 0.0306
Per class
Kappa
0.3103 ± 0.0805
KB relative information score
0.2489 ± 0.064
Mean absolute error
0.2949 ± 0.0246
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7105 ± 0.0338
Per class
Predictive accuracy
0.715 ± 0.0272
Prior entropy
0.8813
Recall
0.715 ± 0.0272
Per class
Relative absolute error
0.7018 ± 0.0584
Root mean prior squared error
0.4583
Root mean squared error
0.5023 ± 0.0291
Root relative squared error
1.0961 ± 0.0635
SciMark benchmark
639.2945
UserCPU time millis
64430
UserCPU time millis testing
70
UserCPU time millis training
64360