Run
301107

Run 301107

Task 95 (Learning Curve) segment 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
0.9954 ± 0.0028
Per class
F measure
0.9645 ± 0.013
Per class
Kappa
0.9586 ± 0.0152
KB relative information score
0.9576 ± 0.0124
Mean absolute error
0.0141 ± 0.0034
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9646 ± 0.0123
Per class
Predictive accuracy
0.9645 ± 0.013
Prior entropy
2.8074
Recall
0.9645 ± 0.013
Per class
Relative absolute error
0.0578 ± 0.0137
Root mean prior squared error
0.3499
Root mean squared error
0.0909 ± 0.0167
Root relative squared error
0.2596 ± 0.0477
SciMark benchmark
1353.9654
UserCPU time millis
15440
UserCPU time millis testing
20
UserCPU time millis training
15420