DEVELOPMENT... OpenML
Run
21285

Run 21285

Task 52 (Supervised Classification) heart-statlog Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(1)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(1)_I10
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7483
Per class
F measure
0.7488
Per class
Kappa
0.4934
KB relative information score
131.5466
Mean absolute error
0.2519
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7507
Per class
Predictive accuracy
0.7481
Prior entropy
0.9912
Recall
0.7481
Per class
Relative absolute error
0.51
Root mean prior squared error
0.4969
Root mean squared error
0.5018
Root relative squared error
1.01
SciMark benchmark
944.3959[567.97153489657241014.9881073746852482.14720472367435906.44537908266061750.4272808716194]

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