DEVELOPMENT... OpenML
Run
78990

Run 78990

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)_I80
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
0.391
Per class
Build CPU time
0.014
Build memory
2526757008
F measure
0.5149
Per class
Kappa
-0.2694
KB relative information score
-4.4029
Mean absolute error
0.305
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
0.4828
Per class
Predictive accuracy
0.5517
Prior entropy
1.0305
Recall
0.5517
Per class
Relative absolute error
1.0899
Root mean prior squared error
0.3657
Root mean squared error
0.4442
Root relative squared error
1.2146
SciMark benchmark
941.3608