DEVELOPMENT... OpenML
Run
46001

Run 46001

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 30-10-2014 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)_I160
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
0.3231
Per class
Build CPU time
7.0373
Build memory
996611790.4
F measure
0.5321
Per class
Kappa
-0.1682
KB relative information score
-95.9294
Mean absolute error
0.3315
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
0.5056
Per class
Predictive accuracy
0.5644
Prior entropy
1.0305
Recall
0.5644
Per class
Relative absolute error
1.1549
Root mean prior squared error
0.3755
Root mean squared error
0.4516
Root relative squared error
1.2026
SciMark benchmark
942.6202

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