DEVELOPMENT... OpenML
Run
128118

Run 128118

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)_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
0.8438
Per class
Build CPU time
0.005
Build memory
349436048
F measure
0.7691
Per class
Kappa
0.4893
KB relative information score
42.8728
Mean absolute error
0.0974
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
0.7895
Per class
Predictive accuracy
0.7835
Prior entropy
1.0314
Recall
0.7835
Per class
Relative absolute error
0.5216
Root mean prior squared error
0.3038
Root mean squared error
0.2556
Root relative squared error
0.8414
SciMark benchmark
943.5504