Run
300884

Run 300884

Task 99 (Learning Curve) glass Uploaded 18-03-2015 by Joaquin Vanschoren
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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
0.8512 ± 0.0615
Per class
F measure
0.6491 ± 0.1009
Per class
Kappa
0.5393 ± 0.1305
KB relative information score
0.5543 ± 0.0849
Mean absolute error
0.1144 ± 0.018
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6424 ± 0.0946
Per class
Predictive accuracy
0.6692 ± 0.0946
Prior entropy
2.1835 ± 0.0748
Recall
0.6692 ± 0.0946
Per class
Relative absolute error
0.5405 ± 0.0849
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2618 ± 0.0334
Root relative squared error
0.807 ± 0.1022
SciMark benchmark
1338.2217
UserCPU time millis
640
UserCPU time millis training
640