DEVELOPMENT... OpenML
Run
80970

Run 80970

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I20
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.6988
Per class
Build CPU time
0.033
Build memory
3174428360
F measure
0.4099
Per class
Kappa
-0.0518
KB relative information score
1.7484
Mean absolute error
0.2834
Mean prior absolute error
0.2983
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3297
Per class
Predictive accuracy
0.5417
Prior entropy
1.5899
Recall
0.5417
Per class
Relative absolute error
0.95
Root mean prior squared error
0.3886
Root mean squared error
0.3889
Root relative squared error
1.001
SciMark benchmark
949.2096