Run
195637

Run 195637

Task 2097 (Learning Curve) satimage Uploaded 26-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.MultilayerPerceptronCS(1)Weka implementation of MultilayerPerceptronCS
weka.MultilayerPerceptronCS(1)_L0.3
weka.MultilayerPerceptronCS(1)_M0.2
weka.MultilayerPerceptronCS(1)_N500
weka.MultilayerPerceptronCS(1)_V0
weka.MultilayerPerceptronCS(1)_S0
weka.MultilayerPerceptronCS(1)_E20
weka.MultilayerPerceptronCS(1)_Ha

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.

22 Evaluation measures

Area under ROC curve
0.9808 ± 0.0033
Per class
F measure
0.8974 ± 0.0102
Per class
Kappa
0.8745 ± 0.0119
KB relative information score
0.8785 ± 0.0102
Mean absolute error
0.0367 ± 0.003
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8967 ± 0.0103
Per class
Predictive accuracy
0.8984 ± 0.0096
Prior entropy
2.4834 ± 0.0009
Recall
0.8984 ± 0.0096
Per class
Relative absolute error
0.1358 ± 0.011
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.17 ± 0.0074
Root relative squared error
0.4625 ± 0.02
SciMark benchmark
1594.8467
UserCPU time millis
52070
UserCPU time millis testing
60
UserCPU time millis training
52010