DEVELOPMENT... OpenML
Run
96769

Run 96769

Task 2079 (Supervised Classification) eucalyptus Uploaded 08-12-2014 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)_I10
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
0.7722
Per class
Build CPU time
0.0752
Build memory
1108113753.9457
F measure
0.4504
Per class
Kappa
0.3024
KB relative information score
263.065
Mean absolute error
0.2328
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4479
Per class
Predictive accuracy
0.462
Prior entropy
2.2629
Recall
0.462
Per class
Relative absolute error
0.7434
Root mean prior squared error
0.3957
Root mean squared error
0.3706
Root relative squared error
0.9364
SciMark benchmark
920.6941