DEVELOPMENT... OpenML
Run
34354

Run 34354

Task 32 (Supervised Classification) pendigits Uploaded 19-10-2014 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)_I80
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
0.9997
Per class
Build CPU time
371.8418
Build memory
1321666755.2183
F measure
0.9883
Per class
Kappa
0.9871
KB relative information score
10671.7494
Mean absolute error
0.0104
Mean prior absolute error
0.18
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9884
Per class
Predictive accuracy
0.9884
Prior entropy
3.3208
Recall
0.9884
Per class
Relative absolute error
0.058
Root mean prior squared error
0.3
Root mean squared error
0.0511
Root relative squared error
0.1705
SciMark benchmark
942.0596

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