DEVELOPMENT... OpenML
Run
79489

Run 79489

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I40
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.3393
Per class
Build CPU time
0.0052
Build memory
1909091837.6
F measure
0.5359
Per class
Kappa
-0.1595
KB relative information score
-79.8149
Mean absolute error
0.3198
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
0.5072
Per class
Predictive accuracy
0.5711
Prior entropy
1.0305
Recall
0.5711
Per class
Relative absolute error
1.1142
Root mean prior squared error
0.3755
Root mean squared error
0.4585
Root relative squared error
1.2211
SciMark benchmark
941.0866