DEVELOPMENT... OpenML
Run
32969

Run 32969

Task 1792 (Supervised Classification) optdigits Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9993
Per class
Build CPU time
368.4016
Build memory
422298791.2
F measure
0.9726
Per class
Kappa
0.9695
KB relative information score
25700.8829
Mean absolute error
0.0293
Mean prior absolute error
0.18
Number of instances
28100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9726
Per class
Predictive accuracy
0.9726
Prior entropy
3.3218
Recall
0.9726
Per class
Relative absolute error
0.1628
Root mean prior squared error
0.3
Root mean squared error
0.0857
Root relative squared error
0.2858
SciMark benchmark
943.3833