DEVELOPMENT... OpenML
Run
58036

Run 58036

Task 3889 (Supervised Classification) sylva_agnostic 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
0.9991
Per class
Build CPU time
11754.4375
Build memory
281828900.4682
F measure
0.9943
Per class
Kappa
0.9512
KB relative information score
13073.4305
Mean absolute error
0.0084
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9944
Per class
Predictive accuracy
0.9943
Prior entropy
0.3338
Recall
0.9943
Per class
Relative absolute error
0.0729
Root mean prior squared error
0.2403
Root mean squared error
0.0632
Root relative squared error
0.2628
SciMark benchmark
941.5509