Run
52735

Run 52735

Task 1730 (Learning Curve) credit-g 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
0.7152 ± 0.0406
Per class
Build CPU time
4.6447
Build memory
3462210756.4445
F measure
0.7052 ± 0.0414
Per class
Kappa
0.2902 ± 0.109
KB relative information score
0.2441 ± 0.0723
Mean absolute error
0.2968 ± 0.0263
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7024 ± 0.0457
Per class
Predictive accuracy
0.709 ± 0.0357
Prior entropy
0.8813
Recall
0.709 ± 0.0357
Per class
Relative absolute error
0.7065 ± 0.0625
Root mean prior squared error
0.4583
Root mean squared error
0.5042 ± 0.0303
Root relative squared error
1.1003 ± 0.0662
SciMark benchmark
1629.4508