Run
302890

Run 302890

Task 1712 (Learning Curve) breast-cancer Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.MultilayerPerceptronCS(1)Weka implementation of MultilayerPerceptronCS
weka.MultilayerPerceptronCS(1)_L0.3
weka.MultilayerPerceptronCS(1)_M0.2
weka.MultilayerPerceptronCS(1)_N500
weka.MultilayerPerceptronCS(1)_V0
weka.MultilayerPerceptronCS(1)_S0
weka.MultilayerPerceptronCS(1)_E20
weka.MultilayerPerceptronCS(1)_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
0.6311 ± 0.0911
Per class
F measure
0.6465 ± 0.0464
Per class
Kappa
0.1456 ± 0.138
KB relative information score
0.0992 ± 0.1235
Mean absolute error
0.3504 ± 0.0419
Mean prior absolute error
0.4183 ± 0.0068
Number of instances
286
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6432 ± 0.0568
Per class
Predictive accuracy
0.6503 ± 0.0457
Prior entropy
0.8779 ± 0.0209
Recall
0.6503 ± 0.0457
Per class
Relative absolute error
0.8377 ± 0.1061
Root mean prior squared error
0.457 ± 0.0075
Root mean squared error
0.5422 ± 0.0382
Root relative squared error
1.1864 ± 0.0934
SciMark benchmark
1383.5029
UserCPU time millis
4930
UserCPU time millis training
4930