DEVELOPMENT... OpenML
Run
79912

Run 79912

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I40
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.7381
Per class
Build CPU time
0.0394
Build memory
762790469.7531
F measure
0.8264
Per class
Kappa
0.2849
KB relative information score
25.1902
Mean absolute error
0.1825
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
0.8247
Per class
Predictive accuracy
0.8283
Prior entropy
0.5956
Recall
0.8283
Per class
Relative absolute error
0.7412
Root mean prior squared error
0.3502
Root mean squared error
0.3558
Root relative squared error
1.016
SciMark benchmark
947.4258