DEVELOPMENT... OpenML
Run
136462

Run 136462

Task 50 (Supervised Classification) heart-h Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7664
Per class
Build CPU time
0.1553
Build memory
554730540.517
F measure
0.7866
Per class
Kappa
0.533
KB relative information score
146.2886
Mean absolute error
0.0842
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
0.7861
Per class
Predictive accuracy
0.7891
Prior entropy
1.0314
Recall
0.7891
Per class
Relative absolute error
0.4508
Root mean prior squared error
0.3037
Root mean squared error
0.2849
Root relative squared error
0.9382
SciMark benchmark
927.1482