DEVELOPMENT... OpenML
Run
129265

Run 129265

Task 48 (Supervised Classification) heart-c 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
0.7638
Per class
Build CPU time
0.0273
Build memory
1606739003.2211
F measure
0.7026
Per class
Kappa
0.3998
KB relative information score
110.4462
Mean absolute error
0.1228
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7024
Per class
Predictive accuracy
0.703
Prior entropy
1.0792
Recall
0.703
Per class
Relative absolute error
0.6126
Root mean prior squared error
0.315
Root mean squared error
0.318
Root relative squared error
1.0095
SciMark benchmark
937.9119