DEVELOPMENT... OpenML
Run
97335

Run 97335

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.8455
Per class
Build CPU time
0.0098
Build memory
1386482015.8569
F measure
0.9775
Per class
Kappa
0.6935
KB relative information score
-16.4333
Mean absolute error
0.0365
Mean prior absolute error
0.0837
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
0.9807
Per class
Predictive accuracy
0.9803
Prior entropy
0.2628
Recall
0.9803
Per class
Relative absolute error
0.4359
Root mean prior squared error
0.2027
Root mean squared error
0.1423
Root relative squared error
0.7021
SciMark benchmark
945.1122