DEVELOPMENT... OpenML
Run
81342

Run 81342

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I40
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.3406
Per class
Build CPU time
0.0106
Build memory
2534594984.8
F measure
0.57
Per class
Kappa
-0.0762
KB relative information score
-46.4813
Mean absolute error
0.3032
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4966
Per class
Predictive accuracy
0.6689
Prior entropy
1.0305
Recall
0.6689
Per class
Relative absolute error
1.0562
Root mean prior squared error
0.3755
Root mean squared error
0.4063
Root relative squared error
1.0821
SciMark benchmark
941.5201