DEVELOPMENT... OpenML
Run
59470

Run 59470

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 15-11-2014 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
0.3334
Per class
Build CPU time
0.3704
Build memory
118122441.6
F measure
0.524
Per class
Kappa
-0.1821
KB relative information score
-86.1
Mean absolute error
0.325
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.5008
Per class
Predictive accuracy
0.5511
Prior entropy
1.0305
Recall
0.5511
Per class
Relative absolute error
1.1323
Root mean prior squared error
0.3755
Root mean squared error
0.4589
Root relative squared error
1.2221
SciMark benchmark
1216.8013