DEVELOPMENT... OpenML
Run
76315

Run 76315

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)_I20
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
0.3281
Per class
Build CPU time
0.1746
Build memory
1365204632.8
F measure
0.5311
Per class
Kappa
-0.1842
KB relative information score
-68.4967
Mean absolute error
0.3135
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
0.4847
Per class
Predictive accuracy
0.5889
Prior entropy
1.0305
Recall
0.5889
Per class
Relative absolute error
1.0923
Root mean prior squared error
0.3755
Root mean squared error
0.4385
Root relative squared error
1.1678
SciMark benchmark
939.4327

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