Run
302600

Run 302600

Task 82 (Learning Curve) cmc 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
0.6825 ± 0.0351
Per class
F measure
0.5114 ± 0.0413
Per class
Kappa
0.2438 ± 0.0619
KB relative information score
0.2598 ± 0.0363
Mean absolute error
0.3494 ± 0.0163
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5168 ± 0.0428
Per class
Predictive accuracy
0.516 ± 0.0384
Prior entropy
1.539 ± 0.0028
Recall
0.516 ± 0.0384
Per class
Relative absolute error
0.8109 ± 0.0378
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4665 ± 0.0175
Root relative squared error
1.0051 ± 0.0375
SciMark benchmark
1337.9038
UserCPU time millis
7240
UserCPU time millis testing
10
UserCPU time millis training
7230