DEVELOPMENT... OpenML
Run
58498

Run 58498

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 15-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I20
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.4121
Per class
Build CPU time
6.7402
Build memory
751666736
F measure
0.5456
Per class
Kappa
-0.1489
KB relative information score
-18.7966
Mean absolute error
0.3339
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.5054
Per class
Predictive accuracy
0.6
Prior entropy
1.0305
Recall
0.6
Per class
Relative absolute error
1.1631
Root mean prior squared error
0.3755
Root mean squared error
0.4125
Root relative squared error
1.0986
SciMark benchmark
821.7292

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