DEVELOPMENT... OpenML
Run
82464

Run 82464

Task 3812 (Supervised Classification) arsenic-female-bladder 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)_I80
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
0.7164
Per class
Build CPU time
0.0885
Build memory
655638289.0018
F measure
0.8286
Per class
Kappa
0.2086
KB relative information score
-13.5181
Mean absolute error
0.2004
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8278
Per class
Predictive accuracy
0.8605
Prior entropy
0.5956
Recall
0.8605
Per class
Relative absolute error
0.814
Root mean prior squared error
0.3502
Root mean squared error
0.3296
Root relative squared error
0.9411
SciMark benchmark
938.2576