DEVELOPMENT... OpenML
Run
167367

Run 167367

Task 1757 (Learning Curve) waveform-5000 Uploaded 19-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.MultilayerPerceptron(3)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(3)_L0.3
weka.MultilayerPerceptron(3)_M0.2
weka.MultilayerPerceptron(3)_N500
weka.MultilayerPerceptron(3)_V0
weka.MultilayerPerceptron(3)_S0
weka.MultilayerPerceptron(3)_E20
weka.MultilayerPerceptron(3)_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
0.9519 ± 0.0067
Per class
F measure
0.836 ± 0.0166
Per class
Kappa
0.754 ± 0.0251
KB relative information score
0.7757 ± 0.0215
Mean absolute error
0.1098 ± 0.0103
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8361 ± 0.0166
Per class
Predictive accuracy
0.836 ± 0.0167
Prior entropy
1.5849 ± 0
Recall
0.836 ± 0.0167
Per class
Relative absolute error
0.2471 ± 0.0231
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3147 ± 0.0159
Root relative squared error
0.6677 ± 0.0337
SciMark benchmark
1062.8864
UserCPU time millis
55480
UserCPU time millis testing
60
UserCPU time millis training
55420