DEVELOPMENT... OpenML
Run
167265

Run 167265

Task 1740 (Learning Curve) soybean Uploaded 18-02-2015 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.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
0.9938 ± 0.0038
Per class
F measure
0.9324 ± 0.0258
Per class
Kappa
0.9262 ± 0.0326
KB relative information score
0.9404 ± 0.0172
Mean absolute error
0.0092 ± 0.002
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.933 ± 0.0241
Per class
Predictive accuracy
0.9327 ± 0.0297
Prior entropy
3.8358 ± 0.0227
Recall
0.9327 ± 0.0297
Per class
Relative absolute error
0.0954 ± 0.0211
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0751 ± 0.0116
Root relative squared error
0.3429 ± 0.0528
SciMark benchmark
1062.8864
UserCPU time millis
43420
UserCPU time millis testing
50
UserCPU time millis training
43370