DEVELOPMENT... OpenML
Run
57081

Run 57081

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 12-11-2014 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)_I40
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
0.3361
Per class
Build CPU time
1.4913
Build memory
977931169.6
F measure
0.5368
Per class
Kappa
-0.1563
KB relative information score
-85.4941
Mean absolute error
0.3252
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
0.5106
Per class
Predictive accuracy
0.5689
Prior entropy
1.0305
Recall
0.5689
Per class
Relative absolute error
1.1329
Root mean prior squared error
0.3755
Root mean squared error
0.4541
Root relative squared error
1.2093
SciMark benchmark
946.2633