DEVELOPMENT... OpenML
Run
129305

Run 129305

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I40
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.5663
Per class
Build CPU time
0.002
Build memory
917802808
F measure
0.6356
Per class
Kappa
0.0369
KB relative information score
-8.8821
Mean absolute error
0.3422
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
0.6211
Per class
Predictive accuracy
0.6897
Prior entropy
1.0305
Recall
0.6897
Per class
Relative absolute error
1.2231
Root mean prior squared error
0.3657
Root mean squared error
0.4002
Root relative squared error
1.0943
SciMark benchmark
937.9119