DEVELOPMENT... OpenML
Run
25447

Run 25447

Task 59 (Supervised Classification) iris Uploaded 18-08-2014 by Felicia West
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Flow

weka.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I40
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.9555
Per class
Build CPU time
0.0044
Build memory
372172859.2
F measure
0.8658
Per class
Kappa
0.8
KB relative information score
87.0456
Mean absolute error
0.224
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
0.8719
Per class
Predictive accuracy
0.8667
Prior entropy
1.585
Recall
0.8667
Per class
Relative absolute error
0.5039
Root mean prior squared error
0.4714
Root mean squared error
0.3272
Root relative squared error
0.6941
SciMark benchmark
1464.3958[981.84106563973681155.2488176445806614.79634389862711235.9452788075343334.1473108528967]