DEVELOPMENT... OpenML
Run
173159

Run 173159

Task 1722 (Learning Curve) cmc 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
0.674 ± 0.0305
Per class
F measure
0.5047 ± 0.0426
Per class
Kappa
0.2336 ± 0.0641
KB relative information score
0.2511 ± 0.0314
Mean absolute error
0.3527 ± 0.0144
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5118 ± 0.0341
Per class
Predictive accuracy
0.5112 ± 0.0364
Prior entropy
1.539 ± 0.0029
Recall
0.5112 ± 0.0364
Per class
Relative absolute error
0.8186 ± 0.0339
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4686 ± 0.0141
Root relative squared error
1.0096 ± 0.0309
SciMark benchmark
639.2945
UserCPU time millis
16770
UserCPU time millis testing
20
UserCPU time millis training
16750