DEVELOPMENT... OpenML
Run
58355

Run 58355

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)_I20
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
0.346
Per class
Build CPU time
0.9556
Build memory
432336632
F measure
0.5535
Per class
Kappa
-0.1175
KB relative information score
-79.2174
Mean absolute error
0.3219
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
0.5262
Per class
Predictive accuracy
0.5889
Prior entropy
1.0305
Recall
0.5889
Per class
Relative absolute error
1.1215
Root mean prior squared error
0.3755
Root mean squared error
0.4495
Root relative squared error
1.1971
SciMark benchmark
824.2652