Run
301018

Run 301018

Task 1703 (Learning Curve) labor 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
0.9784 ± 0.0791
Per class
F measure
0.9298 ± 0.1008
Per class
Kappa
0.8459 ± 0.209
KB relative information score
0.8367 ± 0.194
Mean absolute error
0.0749 ± 0.0879
Mean prior absolute error
0.457 ± 0.0218
Number of instances
57
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9298 ± 0.0702
Per class
Predictive accuracy
0.9298 ± 0.0953
Prior entropy
0.9349 ± 0.0648
Recall
0.9298 ± 0.0953
Per class
Relative absolute error
0.1639 ± 0.1877
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.2179 ± 0.1722
Root relative squared error
0.4565 ± 0.3541
SciMark benchmark
1359.6407
UserCPU time millis
270
UserCPU time millis training
270