DEVELOPMENT... OpenML
Run
173144

Run 173144

Task 1711 (Learning Curve) mfeat-factors Uploaded 21-02-2015 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
0.998 ± 0.0017
Per class
F measure
0.979 ± 0.0122
Per class
Kappa
0.9767 ± 0.0136
KB relative information score
0.9746 ± 0.0125
Mean absolute error
0.0062 ± 0.0024
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9791 ± 0.0116
Per class
Predictive accuracy
0.979 ± 0.0122
Prior entropy
3.3219
Recall
0.979 ± 0.0122
Per class
Relative absolute error
0.0345 ± 0.0135
Root mean prior squared error
0.3
Root mean squared error
0.062 ± 0.0181
Root relative squared error
0.2068 ± 0.0604
SciMark benchmark
639.2945
UserCPU time millis
1643120
UserCPU time millis testing
1760
UserCPU time millis training
1641360