DEVELOPMENT... OpenML
Run
52876

Run 52876

Task 1757 (Learning Curve) waveform-5000 Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.PART(2)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(2)_C0.25
weka.PART(2)_M2
weka.PART(2)_Q1

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.

21 Evaluation measures

Area under ROC curve
0.8859 ± 0.0098
Per class
Build CPU time
0.3062
Build memory
743592324.9143
F measure
0.786 ± 0.0127
Per class
Kappa
0.6786 ± 0.0189
KB relative information score
0.6976 ± 0.0149
Mean absolute error
0.1519 ± 0.0074
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7865 ± 0.0151
Per class
Predictive accuracy
0.7858 ± 0.0126
Prior entropy
1.5849 ± 0
Recall
0.7858 ± 0.0126
Per class
Relative absolute error
0.3418 ± 0.0167
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3449 ± 0.0101
Root relative squared error
0.7316 ± 0.0214
SciMark benchmark
1615.5755