Run
302875

Run 302875

Task 90 (Learning Curve) credit-g Uploaded 18-03-2015 by Joaquin Vanschoren
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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
0.7228 ± 0.0535
Per class
F measure
0.713 ± 0.0365
Per class
Kappa
0.3114 ± 0.0871
KB relative information score
0.2592 ± 0.0869
Mean absolute error
0.2908 ± 0.0333
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.711 ± 0.0371
Per class
Predictive accuracy
0.7155 ± 0.0373
Prior entropy
0.8813
Recall
0.7155 ± 0.0373
Per class
Relative absolute error
0.6921 ± 0.0792
Root mean prior squared error
0.4583
Root mean squared error
0.4987 ± 0.0339
Root relative squared error
1.0882 ± 0.0741
SciMark benchmark
1342.3412
UserCPU time millis
24490
UserCPU time millis testing
20
UserCPU time millis training
24470