DEVELOPMENT... OpenML
Run
24057

Run 24057

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 30-06-2014 by Felicia West
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Flow

weka.Bagging_IBk(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_IBk(1)_I10
weka.Bagging_IBk(1)_P100
weka.Bagging_IBk(1)_S1
weka.Bagging_IBk(1)_Wweka.classifiers.lazy.IBk
weka.Bagging_IBk(1)_num-slots1
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.3915
Per class
F measure
0.5432
Per class
Kappa
-0.1496
KB relative information score
-6.4572
Mean absolute error
0.2869
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
0.4889
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
0.9996
Root mean prior squared error
0.3755
Root mean squared error
0.4483
Root relative squared error
1.194
SciMark benchmark
927.7569[565.5774034618904919.348782600634482.14720472367435913.39376464446721758.3172656914378]