DEVELOPMENT... OpenML
Run
80356

Run 80356

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I10
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.4014
Per class
Build CPU time
0.002
Build memory
2116111312
F measure
0.4715
Per class
Kappa
-0.3467
KB relative information score
-5.4896
Mean absolute error
0.315
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4608
Per class
Predictive accuracy
0.4828
Prior entropy
1.0305
Recall
0.4828
Per class
Relative absolute error
1.1259
Root mean prior squared error
0.3657
Root mean squared error
0.4563
Root relative squared error
1.2478
SciMark benchmark
949.2096

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