DEVELOPMENT... OpenML
Run
167409

Run 167409

Task 1764 (Learning Curve) electricity Uploaded 19-02-2015 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
0.86 ± 0.0081
Per class
F measure
0.7839 ± 0.0064
Per class
Kappa
0.5552 ± 0.0132
KB relative information score
0.448 ± 0.0168
Mean absolute error
0.2803 ± 0.0083
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.7879 ± 0.0084
Per class
Predictive accuracy
0.7871 ± 0.0068
Prior entropy
0.9835 ± 0
Recall
0.7871 ± 0.0068
Per class
Relative absolute error
0.5737 ± 0.017
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3864 ± 0.0056
Root relative squared error
0.7818 ± 0.0112
SciMark benchmark
1062.8864
UserCPU time millis
97530
UserCPU time millis testing
150
UserCPU time millis training
97380