DEVELOPMENT... OpenML
Run
112543

Run 112543

Task 264 (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)_I20
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
0.2866
Per class
Build CPU time
0.011
Build memory
79012872
F measure
0.4483
Per class
Kappa
-0.3488
KB relative information score
-9.5115
Mean absolute error
0.3479
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
0.4483
Per class
Predictive accuracy
0.4483
Prior entropy
1.0305
Recall
0.4483
Per class
Relative absolute error
1.2431
Root mean prior squared error
0.3657
Root mean squared error
0.5444
Root relative squared error
1.4886
SciMark benchmark
917.4547