Run
54592

Run 54592

Task 1710 (Learning Curve) balance-scale 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
0.9795 ± 0.0127
Per class
Build CPU time
0.1264
Build memory
115815782
F measure
0.9158 ± 0.0247
Per class
Kappa
0.8513 ± 0.0482
KB relative information score
0.8016 ± 0.0392
Mean absolute error
0.0812 ± 0.0168
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9165 ± 0.0238
Per class
Predictive accuracy
0.9152 ± 0.0289
Prior entropy
1.3181 ± 0.0124
Recall
0.9152 ± 0.0289
Per class
Relative absolute error
0.2138 ± 0.0442
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2046 ± 0.0318
Root relative squared error
0.4698 ± 0.0729
SciMark benchmark
1768.2705