DEVELOPMENT... OpenML
Run
25467

Run 25467

Task 59 (Supervised Classification) iris Uploaded 18-08-2014 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
0.9943
Per class
Build CPU time
0.075
Build memory
504917634.4
F measure
0.9533
Per class
Kappa
0.93
KB relative information score
135.9114
Mean absolute error
0.052
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_55, x86_64, Mac OS X, 10.9.4]
Precision
0.9534
Per class
Predictive accuracy
0.9533
Prior entropy
1.585
Recall
0.9533
Per class
Relative absolute error
0.1169
Root mean prior squared error
0.4714
Root mean squared error
0.1556
Root relative squared error
0.3302
SciMark benchmark
1464.3958[981.84106563973681155.2488176445806614.79634389862711235.9452788075343334.1473108528967]