Run
301617

Run 301617

Task 81 (Learning Curve) mfeat-zernike 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
0.9695 ± 0.0052
Per class
F measure
0.8074 ± 0.019
Per class
Kappa
0.7875 ± 0.0225
KB relative information score
0.8221 ± 0.0162
Mean absolute error
0.0405 ± 0.003
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8066 ± 0.019
Per class
Predictive accuracy
0.8088 ± 0.0203
Prior entropy
3.3219
Recall
0.8088 ± 0.0203
Per class
Relative absolute error
0.2252 ± 0.0165
Root mean prior squared error
0.3
Root mean squared error
0.1724 ± 0.0085
Root relative squared error
0.5745 ± 0.0282
SciMark benchmark
1335.4611
UserCPU time millis
61970
UserCPU time millis testing
70
UserCPU time millis training
61900