Run
57571

Run 57571

Task 2094 (Learning Curve) adult Uploaded 13-11-2014 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
0.8951 ± 0.0051
Per class
Build CPU time
411.5523
Build memory
1597807597.72
F measure
0.848 ± 0.0081
Per class
Kappa
0.5848 ± 0.0183
KB relative information score
0.4964 ± 0.0451
Mean absolute error
0.1647 ± 0.0138
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.849 ± 0.0051
Per class
Predictive accuracy
0.8471 ± 0.0121
Prior entropy
0.7938 ± 0.0002
Recall
0.8471 ± 0.0121
Per class
Relative absolute error
0.4525 ± 0.0378
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3527 ± 0.0125
Root relative squared error
0.8266 ± 0.0294
SciMark benchmark
1645.4276