Run
54593

Run 54593

Task 1714 (Learning Curve) breast-w Uploaded 09-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9842 ± 0.0098
Per class
Build CPU time
0.2323
Build memory
76422162.5
F measure
0.95 ± 0.0328
Per class
Kappa
0.8893 ± 0.0725
KB relative information score
0.8779 ± 0.0686
Mean absolute error
0.054 ± 0.0292
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.95 ± 0.0296
Per class
Predictive accuracy
0.9499 ± 0.0325
Prior entropy
0.9293 ± 0.0043
Recall
0.9499 ± 0.0325
Per class
Relative absolute error
0.1194 ± 0.0647
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2076 ± 0.082
Root relative squared error
0.4369 ± 0.1725
SciMark benchmark
1768.2705