DEVELOPMENT... OpenML
Run
172683

Run 172683

Task 1705 (Learning Curve) letter 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
0.9477 ± 0.0044
Per class
F measure
0.8316 ± 0.006
Per class
Kappa
0.8246 ± 0.0065
KB relative information score
0.8348 ± 0.0054
Mean absolute error
0.0152 ± 0.0005
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8361 ± 0.0063
Per class
Predictive accuracy
0.8314 ± 0.0063
Prior entropy
4.6998 ± 0.0001
Recall
0.8314 ± 0.0063
Per class
Relative absolute error
0.2049 ± 0.0061
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1065 ± 0.0017
Root relative squared error
0.5539 ± 0.0087
SciMark benchmark
1062.8864
UserCPU time millis
447330
UserCPU time millis testing
530
UserCPU time millis training
446800