DEVELOPMENT... OpenML
Run
78985

Run 78985

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)_I80
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
0.3319
Per class
Build CPU time
0.0105
Build memory
1553950020
F measure
0.532
Per class
Kappa
-0.1721
KB relative information score
-82.6391
Mean absolute error
0.3224
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
0.5003
Per class
Predictive accuracy
0.5711
Prior entropy
1.0305
Recall
0.5711
Per class
Relative absolute error
1.123
Root mean prior squared error
0.3755
Root mean squared error
0.4588
Root relative squared error
1.2218
SciMark benchmark
929.0404