DEVELOPMENT... OpenML
Run
82633

Run 82633

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)_I160
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
0.3346
Per class
Build CPU time
0.0346
Build memory
102049482.4
F measure
0.5779
Per class
Kappa
-0.0493
KB relative information score
-40.5488
Mean absolute error
0.3006
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
0.5001
Per class
Predictive accuracy
0.6844
Prior entropy
1.0305
Recall
0.6844
Per class
Relative absolute error
1.0471
Root mean prior squared error
0.3755
Root mean squared error
0.4026
Root relative squared error
1.0723
SciMark benchmark
933.4451