DEVELOPMENT... OpenML
Run
59637

Run 59637

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)_I10
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
0.3953
Per class
Build CPU time
2.5289
Build memory
102906202.4
F measure
0.5634
Per class
Kappa
-0.1014
KB relative information score
-19.1298
Mean absolute error
0.337
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
0.5305
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
1.1741
Root mean prior squared error
0.3755
Root mean squared error
0.4163
Root relative squared error
1.1086
SciMark benchmark
939.4026