Run
301943

Run 301943

Task 73 (Learning Curve) mfeat-fourier Uploaded 18-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9748 ± 0.0051
Per class
F measure
0.8356 ± 0.0208
Per class
Kappa
0.8171 ± 0.023
KB relative information score
0.8357 ± 0.0182
Mean absolute error
0.0369 ± 0.0036
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8362 ± 0.0208
Per class
Predictive accuracy
0.8354 ± 0.0207
Prior entropy
3.3219
Recall
0.8354 ± 0.0207
Per class
Relative absolute error
0.2052 ± 0.0202
Root mean prior squared error
0.3
Root mean squared error
0.1658 ± 0.0099
Root relative squared error
0.5528 ± 0.033
SciMark benchmark
1344.7329
UserCPU time millis
73600
UserCPU time millis testing
90
UserCPU time millis training
73510