DEVELOPMENT... OpenML
Run
80668

Run 80668

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 02-12-2014 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)_I10
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
0.7953
Per class
Build CPU time
0.0064
Build memory
1150857356.6512
F measure
0.9628
Per class
Kappa
0.5518
KB relative information score
15.8869
Mean absolute error
0.0413
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
0.9632
Per class
Predictive accuracy
0.9624
Prior entropy
0.2628
Recall
0.9624
Per class
Relative absolute error
0.4936
Root mean prior squared error
0.2027
Root mean squared error
0.1723
Root relative squared error
0.8501
SciMark benchmark
919.2952