DEVELOPMENT... OpenML
Run
166639

Run 166639

Task 1720 (Learning Curve) car Uploaded 18-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.MultilayerPerceptron(3)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(3)_L0.3
weka.MultilayerPerceptron(3)_M0.2
weka.MultilayerPerceptron(3)_N500
weka.MultilayerPerceptron(3)_V0
weka.MultilayerPerceptron(3)_S0
weka.MultilayerPerceptron(3)_E20
weka.MultilayerPerceptron(3)_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
0.9997 ± 0.0008
Per class
F measure
0.9942 ± 0.0061
Per class
Kappa
0.9874 ± 0.0132
KB relative information score
0.9792 ± 0.0119
Mean absolute error
0.0066 ± 0.003
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9944 ± 0.0057
Per class
Predictive accuracy
0.9942 ± 0.0061
Prior entropy
1.2058 ± 0.0093
Recall
0.9942 ± 0.0061
Per class
Relative absolute error
0.0287 ± 0.0129
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.0489 ± 0.0251
Root relative squared error
0.1446 ± 0.074
SciMark benchmark
1065.1378
UserCPU time millis
10310
UserCPU time millis testing
10
UserCPU time millis training
10300