DEVELOPMENT... OpenML
Run
97455

Run 97455

Task 241 (Supervised Classification) balance-scale 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
0.9114
Per class
Build CPU time
0.013
Build memory
1258738960
F measure
0.7674
Per class
Kappa
0.6565
KB relative information score
100.629
Mean absolute error
0.2011
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7297
Per class
Predictive accuracy
0.8107
Prior entropy
1.3212
Recall
0.8107
Per class
Relative absolute error
0.5214
Root mean prior squared error
0.4424
Root mean squared error
0.3081
Root relative squared error
0.6964
SciMark benchmark
930.1524