DEVELOPMENT... OpenML
Run
80019

Run 80019

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 01-12-2014 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)_I20
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
0.3849
Per class
Build CPU time
0.004
Build memory
353060032
F measure
0.4715
Per class
Kappa
-0.3467
KB relative information score
-5.1348
Mean absolute error
0.3099
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
1.1075
Root mean prior squared error
0.3657
Root mean squared error
0.4488
Root relative squared error
1.2272
SciMark benchmark
943.4766