Run
300953

Run 300953

Task 98 (Learning Curve) sonar Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.MultilayerPerceptron(3)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(3)_L0.3
weka.MultilayerPerceptron(3)_M0.2
weka.MultilayerPerceptron(3)_N500
weka.MultilayerPerceptron(3)_V0
weka.MultilayerPerceptron(3)_S0
weka.MultilayerPerceptron(3)_E20
weka.MultilayerPerceptron(3)_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
0.8958 ± 0.0718
Per class
F measure
0.8382 ± 0.0732
Per class
Kappa
0.6747 ± 0.1458
KB relative information score
0.6589 ± 0.1346
Mean absolute error
0.171 ± 0.0662
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8385 ± 0.0716
Per class
Predictive accuracy
0.8385 ± 0.0722
Prior entropy
0.9967 ± 0.0043
Recall
0.8385 ± 0.0722
Per class
Relative absolute error
0.3436 ± 0.1329
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3742 ± 0.0914
Root relative squared error
0.7501 ± 0.1831
SciMark benchmark
1353.9359
UserCPU time millis
7040
UserCPU time millis training
7040