Run
307199

Run 307199

Task 87 (Learning Curve) optdigits Uploaded 19-03-2015 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
0.9992 ± 0.0006
Per class
F measure
0.9837 ± 0.0054
Per class
Kappa
0.9819 ± 0.006
KB relative information score
0.9812 ± 0.005
Mean absolute error
0.0049 ± 0.001
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9837 ± 0.0053
Per class
Predictive accuracy
0.9837 ± 0.0054
Prior entropy
3.3218 ± 0.0001
Recall
0.9837 ± 0.0054
Per class
Relative absolute error
0.027 ± 0.0057
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0531 ± 0.0082
Root relative squared error
0.177 ± 0.0272
SciMark benchmark
1360.0573
UserCPU time millis
254100
UserCPU time millis testing
270
UserCPU time millis training
253830