Run
52731

Run 52731

Task 1728 (Learning Curve) credit-approval Uploaded 07-11-2014 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
0.8827 ± 0.0405
Per class
Build CPU time
1.8177
Build memory
2898538571.9
F measure
0.8203 ± 0.0441
Per class
Kappa
0.6362 ± 0.0892
KB relative information score
0.6263 ± 0.0944
Mean absolute error
0.1848 ± 0.0469
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8203 ± 0.0418
Per class
Predictive accuracy
0.8203 ± 0.0433
Prior entropy
0.9912 ± 0.0022
Recall
0.8203 ± 0.0433
Per class
Relative absolute error
0.3741 ± 0.0951
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3977 ± 0.0517
Root relative squared error
0.8003 ± 0.1046
SciMark benchmark
1914.93