Run
302893

Run 302893

Task 115 (Learning Curve) vowel 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
0.9801 ± 0.0118
Per class
F measure
0.9253 ± 0.0312
Per class
Kappa
0.9182 ± 0.0331
KB relative information score
0.9134 ± 0.0285
Mean absolute error
0.0204 ± 0.0051
Mean prior absolute error
0.1653
Number of instances
9900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9262 ± 0.0283
Per class
Predictive accuracy
0.9257 ± 0.0301
Prior entropy
3.4594
Recall
0.9257 ± 0.0301
Per class
Relative absolute error
0.1233 ± 0.0311
Root mean prior squared error
0.2875
Root mean squared error
0.1071 ± 0.0202
Root relative squared error
0.3727 ± 0.0704
SciMark benchmark
1340.1614
UserCPU time millis
8940
UserCPU time millis testing
10
UserCPU time millis training
8930