OpenML
81342

Run 81342

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 02-12-2014 by Joaquin Vanschoren
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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
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0106
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
2534594984.8
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.57
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
-0.0762
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
-46.4813
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3032
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
450
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4966
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.6689
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.6689
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
1.0562
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4063
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.0821
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
941.5201