DEVELOPMENT... OpenML
Run
81035

Run 81035

Task 3911 (Supervised Classification) ar4 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
0.8241
Per class
Build CPU time
0.0237
Build memory
1045508917.2337
F measure
0.8083
Per class
Kappa
0.3146
KB relative information score
21.1215
Mean absolute error
0.2261
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8079
Per class
Predictive accuracy
0.8318
Prior entropy
0.707
Recall
0.8318
Per class
Relative absolute error
0.7353
Root mean prior squared error
0.3899
Root mean squared error
0.3411
Root relative squared error
0.875
SciMark benchmark
941.5201

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