DEVELOPMENT... OpenML
Run
58908

Run 58908

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 15-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I20
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8185
Per class
Build CPU time
5.0531
Build memory
1145606737.8175
F measure
0.8279
Per class
Kappa
0.2111
KB relative information score
1.4955
Mean absolute error
0.2068
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
0.8401
Root mean prior squared error
0.3502
Root mean squared error
0.3207
Root relative squared error
0.9159
SciMark benchmark
944.3501