DEVELOPMENT... OpenML
Run
195230

Run 195230

Task 1752 (Learning Curve) vehicle Uploaded 26-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.9435 ± 0.0197
Per class
F measure
0.8112 ± 0.0399
Per class
Kappa
0.7493 ± 0.0505
KB relative information score
0.7614 ± 0.032
Mean absolute error
0.107 ± 0.0139
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8122 ± 0.0383
Per class
Predictive accuracy
0.8121 ± 0.0378
Prior entropy
1.9991 ± 0.0005
Recall
0.8121 ± 0.0378
Per class
Relative absolute error
0.2854 ± 0.0371
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.2685 ± 0.0195
Root relative squared error
0.6202 ± 0.045
SciMark benchmark
1572.5758
UserCPU time millis
3840
UserCPU time millis testing
10
UserCPU time millis training
3830