Run
302817

Run 302817

Task 93 (Learning Curve) postoperative-patient-data 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
0.4381 ± 0.2317
Per class
F measure
0.556 ± 0.1462
Per class
Kappa
-0.0852 ± 0.2844
KB relative information score
-0.1021 ± 0.3113
Mean absolute error
0.2972 ± 0.082
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5408 ± 0.1587
Per class
Predictive accuracy
0.5733 ± 0.1479
Prior entropy
0.983 ± 0.181
Recall
0.5733 ± 0.1479
Per class
Relative absolute error
1.0354 ± 0.2855
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4886 ± 0.0834
Root relative squared error
1.3013 ± 0.2283
SciMark benchmark
1318.3496
UserCPU time millis
530
UserCPU time millis training
530