DEVELOPMENT... OpenML
Run
109699

Run 109699

Task 280 (Supervised Classification) heart-h Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.7703
Per class
Build CPU time
0.055
Build memory
564671008
F measure
0.7924
Per class
Kappa
0.5474
KB relative information score
47.0858
Mean absolute error
0.0884
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
0.7917
Per class
Predictive accuracy
0.7938
Prior entropy
1.0314
Recall
0.7938
Per class
Relative absolute error
0.4731
Root mean prior squared error
0.3038
Root mean squared error
0.2838
Root relative squared error
0.9342
SciMark benchmark
939.0159

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