DEVELOPMENT... OpenML
Run
80975

Run 80975

Task 2355 (Supervised Classification) meta_instanceincremental.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
0.8885
Per class
Build CPU time
0.024
Build memory
1877788384
F measure
0.7145
Per class
Kappa
0.3077
KB relative information score
9.1277
Mean absolute error
0.1629
Mean prior absolute error
0.2324
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
0.748
Per class
Predictive accuracy
0.75
Prior entropy
1.3146
Recall
0.75
Per class
Relative absolute error
0.7011
Root mean prior squared error
0.3388
Root mean squared error
0.2743
Root relative squared error
0.8097
SciMark benchmark
947.4258