Run
302731

Run 302731

Task 62 (Learning Curve) anneal 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
0.9921 ± 0.0122
Per class
F measure
0.9811 ± 0.0066
Per class
Kappa
0.9547 ± 0.0524
KB relative information score
0.9611 ± 0.0328
Mean absolute error
0.0059 ± 0.0041
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9822 ± 0.0059
Per class
Predictive accuracy
0.9823 ± 0.0194
Prior entropy
1.1915 ± 0.0248
Recall
0.9823 ± 0.0194
Per class
Relative absolute error
0.0436 ± 0.0304
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.0559 ± 0.03
Root relative squared error
0.2165 ± 0.1159
SciMark benchmark
1334.2487
UserCPU time millis
27070
UserCPU time millis testing
30
UserCPU time millis training
27040