DEVELOPMENT... OpenML
Run
19956

Run 19956

Task 48 (Supervised Classification) heart-c Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I10
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.856
Per class
F measure
0.7883
Per class
Kappa
0.5727
KB relative information score
158.0583
Mean absolute error
0.0899
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7885
Per class
Predictive accuracy
0.7888
Prior entropy
1.0792
Recall
0.7888
Per class
Relative absolute error
0.4485
Root mean prior squared error
0.315
Root mean squared error
0.2611
Root relative squared error
0.8288
SciMark benchmark
941.0275[552.49939948384381012.0561783624415483.0147548568529907.70082742804311749.8664669073971]