Run
52725

Run 52725

Task 1717 (Learning Curve) mfeat-morphological Uploaded 07-11-2014 by Joaquin Vanschoren
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Flow

weka.MultilayerPerceptron(2)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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.

21 Evaluation measures

Area under ROC curve
0.9561 ± 0.0063
Per class
Build CPU time
2.0304
Build memory
3007497651.9273
F measure
0.7286 ± 0.0243
Per class
Kappa
0.7167 ± 0.0218
KB relative information score
0.7704 ± 0.0158
Mean absolute error
0.0615 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7407 ± 0.0327
Per class
Predictive accuracy
0.745 ± 0.0196
Prior entropy
3.3219
Recall
0.745 ± 0.0196
Per class
Relative absolute error
0.3418 ± 0.0171
Root mean prior squared error
0.3
Root mean squared error
0.1831 ± 0.007
Root relative squared error
0.6105 ± 0.0233
SciMark benchmark
945.0272