DEVELOPMENT... OpenML
Run
129921

Run 129921

Task 280 (Supervised Classification) heart-h 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)_I80
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
0.7885
Per class
Build CPU time
0.058
Build memory
616073520
F measure
0.7254
Per class
Kappa
0.396
KB relative information score
39.6525
Mean absolute error
0.1011
Mean prior absolute error
0.1867
Number of instances
97
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7685
Per class
Predictive accuracy
0.7526
Prior entropy
1.0314
Recall
0.7526
Per class
Relative absolute error
0.5412
Root mean prior squared error
0.3038
Root mean squared error
0.3002
Root relative squared error
0.9883
SciMark benchmark
939.0159