DEVELOPMENT... OpenML
Run
139416

Run 139416

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

weka.AdaBoostM1_REPTree(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_REPTree(2)_I10
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.8531
Per class
Build CPU time
0.0199
Build memory
673747994.6939
F measure
0.785
Per class
Kappa
0.5324
KB relative information score
146.1832
Mean absolute error
0.0854
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
0.7845
Per class
Predictive accuracy
0.7857
Prior entropy
1.0314
Recall
0.7857
Per class
Relative absolute error
0.4574
Root mean prior squared error
0.3037
Root mean squared error
0.2506
Root relative squared error
0.825
SciMark benchmark
941.7846