DEVELOPMENT... OpenML
Run
7330

Run 7330

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I70
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.3855
Per class
F measure
0.5911
Per class
KB relative information score
-2.4443
Mean absolute error
0.2874
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5057
Per class
Predictive accuracy
0.7111
Prior entropy
1.0305
Recall
0.7111
Per class
Relative absolute error
1.0013
Root mean prior squared error
0.3755
Root mean squared error
0.3877
Root relative squared error
1.0326
SciMark benchmark
917.5705[571.3202277287572857.5678798364443479.99187728791736912.12245438067161766.8500850997275]