DEVELOPMENT... OpenML
Run
57256

Run 57256

Task 1705 (Learning Curve) letter Uploaded 13-11-2014 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
0.9538 ± 0.0017
Per class
Build CPU time
1.6843
Build memory
2657677583.2889
F measure
0.8893 ± 0.0054
Per class
Kappa
0.8848 ± 0.0057
KB relative information score
0.8886 ± 0.0053
Mean absolute error
0.0096 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8895 ± 0.0054
Per class
Predictive accuracy
0.8892 ± 0.0055
Prior entropy
4.6998 ± 0.0001
Recall
0.8892 ± 0.0055
Per class
Relative absolute error
0.1292 ± 0.0059
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0885 ± 0.0022
Root relative squared error
0.4601 ± 0.0112
SciMark benchmark
1525.9265

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