Run
52730

Run 52730

Task 1713 (Learning Curve) mfeat-fourier 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
0.9764 ± 0.0041
Per class
Build CPU time
14.4681
Build memory
2976261913.0909
F measure
0.837 ± 0.0223
Per class
Kappa
0.8189 ± 0.0239
KB relative information score
0.84 ± 0.0146
Mean absolute error
0.0365 ± 0.003
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8374 ± 0.0219
Per class
Predictive accuracy
0.837 ± 0.0215
Prior entropy
3.3219
Recall
0.837 ± 0.0215
Per class
Relative absolute error
0.2029 ± 0.0168
Root mean prior squared error
0.3
Root mean squared error
0.1634 ± 0.0088
Root relative squared error
0.5447 ± 0.0294
SciMark benchmark
1914.93