DEVELOPMENT... OpenML
Run
83319

Run 83319

Task 3564 (Supervised Classification) analcatdata_germangss 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)_I160
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
0.6608
Per class
Build CPU time
0.1697
Build memory
211875743.2
F measure
0.2563
Per class
Kappa
0.0267
KB relative information score
76.4356
Mean absolute error
0.3361
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2467
Per class
Predictive accuracy
0.27
Prior entropy
2
Recall
0.27
Per class
Relative absolute error
0.8964
Root mean prior squared error
0.433
Root mean squared error
0.4213
Root relative squared error
0.9729
SciMark benchmark
943.2048

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