DEVELOPMENT... OpenML
Run
96729

Run 96729

Task 283 (Supervised Classification) vehicle 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
0.9302
Per class
Build CPU time
0.076
Build memory
1105792288
F measure
0.7488
Per class
Kappa
0.6813
KB relative information score
171.7881
Mean absolute error
0.1802
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7619
Per class
Predictive accuracy
0.7599
Prior entropy
1.9991
Recall
0.7599
Per class
Relative absolute error
0.4808
Root mean prior squared error
0.4328
Root mean squared error
0.2879
Root relative squared error
0.6651
SciMark benchmark
945.1122