DEVELOPMENT... OpenML
Run
47224

Run 47224

Task 1727 (Learning Curve) optdigits Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.7301 ± 0.0304
Per class
Build CPU time
0.0635
Build memory
731748598.9143
F measure
0.2694 ± 0.0564
Per class
Kappa
0.2362 ± 0.0533
KB relative information score
0.3151 ± 0.0228
Mean absolute error
0.1478 ± 0.0015
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.288 ± 0.0605
Per class
Predictive accuracy
0.3126 ± 0.048
Prior entropy
3.3218 ± 0.0001
Recall
0.3126 ± 0.048
Per class
Relative absolute error
0.8209 ± 0.0085
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2959 ± 0.0144
Root relative squared error
0.9864 ± 0.048
SciMark benchmark
1193.7396