DEVELOPMENT... OpenML
Run
97359

Run 97359

Task 3812 (Supervised Classification) arsenic-female-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
0.7109
Per class
Build CPU time
0.0135
Build memory
1213060247.3131
F measure
0.8279
Per class
Kappa
0.2111
KB relative information score
-24.4884
Mean absolute error
0.2042
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
0.8232
Per class
Predictive accuracy
0.8569
Prior entropy
0.5956
Recall
0.8569
Per class
Relative absolute error
0.8296
Root mean prior squared error
0.3502
Root mean squared error
0.3367
Root relative squared error
0.9615
SciMark benchmark
945.1122