DEVELOPMENT... OpenML
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Run 111896

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I40
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.2994
Per class
Build CPU time
0.0078
Build memory
853045340
F measure
0.5325
Per class
Kappa
-0.1704
KB relative information score
-14.911
Mean absolute error
0.3162
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
0.4977
Per class
Predictive accuracy
0.5778
Prior entropy
1.0305
Recall
0.5778
Per class
Relative absolute error
1.1016
Root mean prior squared error
0.3755
Root mean squared error
0.4699
Root relative squared error
1.2514
SciMark benchmark
936.1433