DEVELOPMENT... OpenML
Run
24727

Run 24727

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 15-07-2014 by Felicia West
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Flow

weka.Bagging_RandomTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(1)_I40
weka.Bagging_RandomTree(1)_P100
weka.Bagging_RandomTree(1)_S1
weka.Bagging_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(1)_num-slots1
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.4369
Per class
F measure
0.5395
Per class
Kappa
-0.1667
KB relative information score
-7.3101
Mean absolute error
0.2925
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
0.4829
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
1.019
Root mean prior squared error
0.3755
Root mean squared error
0.4286
Root relative squared error
1.1416
SciMark benchmark
897.2026[534.3874609731686961.5544199194245458.8639974285942860.05253326479071671.1546883091598]