DEVELOPMENT... OpenML
Run
128067

Run 128067

Task 50 (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)_I10
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
0.7972
Per class
Build CPU time
0.006
Build memory
1537323022.0952
F measure
0.7408
Per class
Kappa
0.4316
KB relative information score
105.0753
Mean absolute error
0.1147
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7398
Per class
Predictive accuracy
0.7449
Prior entropy
1.0314
Recall
0.7449
Per class
Relative absolute error
0.6144
Root mean prior squared error
0.3037
Root mean squared error
0.2694
Root relative squared error
0.8871
SciMark benchmark
929.5397