Run
301230

Run 301230

Task 94 (Learning Curve) dermatology 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
0.9978 ± 0.0027
Per class
F measure
0.9654 ± 0.0279
Per class
Kappa
0.9566 ± 0.0344
KB relative information score
0.9587 ± 0.0295
Mean absolute error
0.0136 ± 0.0084
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9657 ± 0.0253
Per class
Predictive accuracy
0.9653 ± 0.0275
Prior entropy
2.4327 ± 0.0089
Recall
0.9653 ± 0.0275
Per class
Relative absolute error
0.0511 ± 0.0314
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.0938 ± 0.0468
Root relative squared error
0.2572 ± 0.1282
SciMark benchmark
1335.2676
UserCPU time millis
29560
UserCPU time millis testing
40
UserCPU time millis training
29520