Run
302799

Run 302799

Task 88 (Learning Curve) credit-approval Uploaded 18-03-2015 by Joaquin Vanschoren
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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
0.89 ± 0.0368
Per class
F measure
0.8327 ± 0.0445
Per class
Kappa
0.661 ± 0.0903
KB relative information score
0.6465 ± 0.0809
Mean absolute error
0.1753 ± 0.0392
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8327 ± 0.044
Per class
Predictive accuracy
0.8329 ± 0.0441
Prior entropy
0.9912 ± 0.0021
Recall
0.8329 ± 0.0441
Per class
Relative absolute error
0.355 ± 0.0794
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3841 ± 0.0491
Root relative squared error
0.7729 ± 0.0989
SciMark benchmark
1325.0379
UserCPU time millis
6190
UserCPU time millis testing
10
UserCPU time millis training
6180