DEVELOPMENT... OpenML
Run
166648

Run 166648

Task 1721 (Learning Curve) mfeat-zernike 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
0.9672 ± 0.0055
Per class
F measure
0.8023 ± 0.0141
Per class
Kappa
0.7817 ± 0.0182
KB relative information score
0.8152 ± 0.0166
Mean absolute error
0.0411 ± 0.0025
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8015 ± 0.0147
Per class
Predictive accuracy
0.8035 ± 0.0163
Prior entropy
3.3219
Recall
0.8035 ± 0.0163
Per class
Relative absolute error
0.2285 ± 0.0137
Root mean prior squared error
0.3
Root mean squared error
0.1768 ± 0.0089
Root relative squared error
0.5892 ± 0.0297
SciMark benchmark
1065.1378
UserCPU time millis
54310
UserCPU time millis testing
40
UserCPU time millis training
54270