DEVELOPMENT... OpenML
Run
176745

Run 176745

Task 1731 (Learning Curve) pendigits Uploaded 22-02-2015 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12
Issue #Downvotes for this reason By


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
0.9723 ± 0.0026
Per class
F measure
0.9403 ± 0.0044
Per class
Kappa
0.9381 ± 0.0041
KB relative information score
0.94 ± 0.0047
Mean absolute error
0.0124 ± 0.0009
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9475 ± 0.0032
Per class
Predictive accuracy
0.9443 ± 0.0037
Prior entropy
3.3208 ± 0.0002
Recall
0.9443 ± 0.0037
Per class
Relative absolute error
0.069 ± 0.0051
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0992 ± 0.0045
Root relative squared error
0.3308 ± 0.0149
SciMark benchmark
639.2945
UserCPU time millis
169360
UserCPU time millis testing
180
UserCPU time millis training
169180