DEVELOPMENT... OpenML
Run
51067

Run 51067

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 06-11-2014 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)_I80
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
0.3291
Per class
Build CPU time
3.1526
Build memory
1164983556.8
F measure
0.5353
Per class
Kappa
-0.1592
KB relative information score
-94.1143
Mean absolute error
0.3305
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
0.5096
Per class
Predictive accuracy
0.5667
Prior entropy
1.0305
Recall
0.5667
Per class
Relative absolute error
1.1513
Root mean prior squared error
0.3755
Root mean squared error
0.4532
Root relative squared error
1.207
SciMark benchmark
945.0883