Run
302855

Run 302855

Task 89 (Learning Curve) page-blocks 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
0.9674 ± 0.0166
Per class
F measure
0.9598 ± 0.0088
Per class
Kappa
0.7854 ± 0.0479
KB relative information score
0.7006 ± 0.0451
Mean absolute error
0.0216 ± 0.0034
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9595 ± 0.0082
Per class
Predictive accuracy
0.9623 ± 0.0076
Prior entropy
0.6355 ± 0.0053
Recall
0.9623 ± 0.0076
Per class
Relative absolute error
0.284 ± 0.0442
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.1104 ± 0.0094
Root relative squared error
0.5664 ± 0.0479
SciMark benchmark
1334.2487
UserCPU time millis
10560
UserCPU time millis testing
20
UserCPU time millis training
10540