DEVELOPMENT... OpenML
Run
60005

Run 60005

Task 3561 (Supervised Classification) profb Uploaded 16-11-2014 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)_I10
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
0.67
Per class
Build CPU time
9.3855
Build memory
2326374909.0595
F measure
0.6688
Per class
Kappa
0.2366
KB relative information score
93.3092
Mean absolute error
0.3741
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6656
Per class
Predictive accuracy
0.683
Prior entropy
0.9188
Recall
0.683
Per class
Relative absolute error
0.8414
Root mean prior squared error
0.4714
Root mean squared error
0.4693
Root relative squared error
0.9954
SciMark benchmark
821.7292