DEVELOPMENT... OpenML
Run
111999

Run 111999

Task 1798 (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
0.3762
Per class
Build CPU time
0.008
Build memory
472292308.8
F measure
0.5182
Per class
Kappa
-0.1717
KB relative information score
-82.2053
Mean absolute error
0.3214
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5027
Per class
Predictive accuracy
0.5356
Prior entropy
1.0305
Recall
0.5356
Per class
Relative absolute error
1.1198
Root mean prior squared error
0.3755
Root mean squared error
0.5265
Root relative squared error
1.4022
SciMark benchmark
873.8637