DEVELOPMENT... OpenML
Run
55733

Run 55733

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 12-11-2014 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)_I80
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
0.8216
Per class
Build CPU time
20.4575
Build memory
66245364.322
F measure
0.8211
Per class
Kappa
0.1722
KB relative information score
6.9206
Mean absolute error
0.2067
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
0.8165
Per class
Predictive accuracy
0.8551
Prior entropy
0.5956
Recall
0.8551
Per class
Relative absolute error
0.8396
Root mean prior squared error
0.3502
Root mean squared error
0.3181
Root relative squared error
0.9083
SciMark benchmark
941.5509