DEVELOPMENT... OpenML
Run
80677

Run 80677

Task 3812 (Supervised Classification) arsenic-female-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
0.7354
Per class
Build CPU time
0.0101
Build memory
844885043.6494
F measure
0.8281
Per class
Kappa
0.2846
KB relative information score
24.974
Mean absolute error
0.1816
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
0.8248
Per class
Predictive accuracy
0.8318
Prior entropy
0.5956
Recall
0.8318
Per class
Relative absolute error
0.7377
Root mean prior squared error
0.3502
Root mean squared error
0.3591
Root relative squared error
1.0253
SciMark benchmark
941.5201