Run
451078

Run 451078

Task 71 (Learning Curve) mfeat-factors Uploaded 19-05-2015 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
0.9977 ± 0.0025
Per class
F measure
0.9791 ± 0.0097
Per class
Kappa
0.9768 ± 0.0107
KB relative information score
0.9759 ± 0.0084
Mean absolute error
0.0061 ± 0.0017
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9792 ± 0.0092
Per class
Predictive accuracy
0.9792 ± 0.0096
Prior entropy
3.3219
Recall
0.9792 ± 0.0096
Per class
Relative absolute error
0.0336 ± 0.0093
Root mean prior squared error
0.3
Root mean squared error
0.0602 ± 0.0128
Root relative squared error
0.2007 ± 0.0426
SciMark benchmark
937.5156
UserCPU time millis
1016300
UserCPU time millis testing
1030
UserCPU time millis training
1015270