DEVELOPMENT... OpenML
Run
77615

Run 77615

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

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I80
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.3196
Per class
Build CPU time
0.5828
Build memory
1213467591.2
F measure
0.5423
Per class
Kappa
-0.1516
KB relative information score
-78.5029
Mean absolute error
0.3197
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
0.5045
Per class
Predictive accuracy
0.5911
Prior entropy
1.0305
Recall
0.5911
Per class
Relative absolute error
1.1137
Root mean prior squared error
0.3755
Root mean squared error
0.4422
Root relative squared error
1.1777
SciMark benchmark
941.0306