DEVELOPMENT... OpenML
Run
172562

Run 172562

Task 1702 (Learning Curve) kr-vs-kp Uploaded 20-02-2015 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
0.9988 ± 0.0019
Per class
F measure
0.9941 ± 0.0034
Per class
Kappa
0.9881 ± 0.0069
KB relative information score
0.985 ± 0.0062
Mean absolute error
0.008 ± 0.0031
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9941 ± 0.0034
Per class
Predictive accuracy
0.9941 ± 0.0034
Prior entropy
0.9986 ± 0.0002
Recall
0.9941 ± 0.0034
Per class
Relative absolute error
0.0161 ± 0.0062
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.069 ± 0.022
Root relative squared error
0.1381 ± 0.044
SciMark benchmark
1062.8864
UserCPU time millis
63790
UserCPU time millis testing
70
UserCPU time millis training
63720