Run
54613

Run 54613

Task 2102 (Learning Curve) eucalyptus 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
0.8597 ± 0.03
Per class
Build CPU time
8.633
Build memory
108151969.4
F measure
0.603 ± 0.0536
Per class
Kappa
0.4954 ± 0.0683
KB relative information score
0.5411 ± 0.0573
Mean absolute error
0.1613 ± 0.0199
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6007 ± 0.0579
Per class
Predictive accuracy
0.606 ± 0.0551
Prior entropy
2.2621 ± 0.0043
Recall
0.606 ± 0.0551
Per class
Relative absolute error
0.515 ± 0.0636
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3661 ± 0.0272
Root relative squared error
0.9253 ± 0.0686
SciMark benchmark
1645.7101