Run
302857

Run 302857

Task 97 (Learning Curve) ecoli 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
0.9545 ± 0.0282
Per class
F measure
0.8432 ± 0.0585
Per class
Kappa
0.7895 ± 0.0822
KB relative information score
0.7573 ± 0.0817
Mean absolute error
0.0492 ± 0.0116
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8395 ± 0.0539
Per class
Predictive accuracy
0.8476 ± 0.0592
Prior entropy
2.1906 ± 0.0868
Recall
0.8476 ± 0.0592
Per class
Relative absolute error
0.2691 ± 0.0629
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.175 ± 0.0332
Root relative squared error
0.5801 ± 0.1085
SciMark benchmark
1334.2487
UserCPU time millis
780
UserCPU time millis testing
10
UserCPU time millis training
770