DEVELOPMENT... OpenML
Run
76937

Run 76937

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)_I40
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
0.322
Per class
Build CPU time
0.3887
Build memory
212388739.2
F measure
0.547
Per class
Kappa
-0.1425
KB relative information score
-75.9281
Mean absolute error
0.318
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
0.6
Prior entropy
1.0305
Recall
0.6
Per class
Relative absolute error
1.1078
Root mean prior squared error
0.3755
Root mean squared error
0.4418
Root relative squared error
1.1767
SciMark benchmark
916.8797