DEVELOPMENT... OpenML
Run
168552

Run 168552

Task 2098 (Learning Curve) abalone Uploaded 20-02-2015 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.

20 Evaluation measures

Area under ROC curve
0.7715 ± 0.0124
Per class
Kappa
0.166 ± 0.0267
KB relative information score
0.2644 ± 0.0111
Mean absolute error
0.0555 ± 0.0004
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.2667 ± 0.0238
Prior entropy
3.6031 ± 0.0188
Recall
0.2667 ± 0.0238
Per class
Relative absolute error
0.898 ± 0.0071
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1677 ± 0.0014
Root relative squared error
0.9546 ± 0.008
SciMark benchmark
639.2945
UserCPU time millis
97640
UserCPU time millis testing
110
UserCPU time millis training
97530