DEVELOPMENT... OpenML
Run
58120

Run 58120

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 14-11-2014 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)_I40
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
0.8176
Per class
Build CPU time
10.7789
Build memory
104485317.9821
F measure
0.8274
Per class
Kappa
0.2042
KB relative information score
0.4367
Mean absolute error
0.2079
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
0.8587
Prior entropy
0.5956
Recall
0.8587
Per class
Relative absolute error
0.8447
Root mean prior squared error
0.3502
Root mean squared error
0.3199
Root relative squared error
0.9136
SciMark benchmark
939.0518