DEVELOPMENT... OpenML
Run
128630

Run 128630

Task 5 (Supervised Classification) arrhythmia 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)_I20
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
0.6901
Per class
Build CPU time
0.0558
Build memory
437349031.0796
F measure
0.4755
Per class
Kappa
0.1868
KB relative information score
-48.6419
Mean absolute error
0.1142
Mean prior absolute error
0.0855
Number of instances
452
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4485
Per class
Predictive accuracy
0.5509
Prior entropy
2.5222
Recall
0.5509
Per class
Relative absolute error
1.335
Root mean prior squared error
0.2055
Root mean squared error
0.236
Root relative squared error
1.1487
SciMark benchmark
943.5504