DEVELOPMENT... OpenML
Run
46245

Run 46245

Task 11 (Supervised Classification) balance-scale Uploaded 31-10-2014 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)_I160
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
0.9923
Per class
Build CPU time
90.396
Build memory
64830564.7872
F measure
0.9349
Per class
Kappa
0.8914
KB relative information score
496.3882
Mean absolute error
0.087
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9342
Per class
Predictive accuracy
0.9392
Prior entropy
1.3212
Recall
0.9392
Per class
Relative absolute error
0.2292
Root mean prior squared error
0.4356
Root mean squared error
0.1851
Root relative squared error
0.4251
SciMark benchmark
897.921