Run
300970

Run 300970

Task 63 (Learning Curve) kr-vs-kp 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
0.999 ± 0.0016
Per class
F measure
0.994 ± 0.0041
Per class
Kappa
0.988 ± 0.0081
KB relative information score
0.9837 ± 0.0074
Mean absolute error
0.0087 ± 0.0037
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.994 ± 0.004
Per class
Predictive accuracy
0.994 ± 0.0041
Prior entropy
0.9986 ± 0.0002
Recall
0.994 ± 0.0041
Per class
Relative absolute error
0.0175 ± 0.0074
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0722 ± 0.0254
Root relative squared error
0.1446 ± 0.0508
SciMark benchmark
1333.3176
UserCPU time millis
50060
UserCPU time millis testing
50
UserCPU time millis training
50010