DEVELOPMENT... OpenML
Run
108924

Run 108924

Task 50 (Supervised Classification) heart-h Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I80
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8919
Per class
Build CPU time
0.0689
Build memory
140515446.8571
F measure
0.8227
Per class
Kappa
0.6102
KB relative information score
149.5758
Mean absolute error
0.0859
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
0.8251
Per class
Predictive accuracy
0.8265
Prior entropy
1.0314
Recall
0.8265
Per class
Relative absolute error
0.4601
Root mean prior squared error
0.3037
Root mean squared error
0.2261
Root relative squared error
0.7444
SciMark benchmark
926.7725

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