DEVELOPMENT... OpenML
Run
134665

Run 134665

Task 48 (Supervised Classification) heart-c Uploaded 28-12-2014 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)_I20
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
0.7441
Per class
Build CPU time
0.0042
Build memory
771757528.3168
F measure
0.7461
Per class
Kappa
0.4886
KB relative information score
139.5984
Mean absolute error
0.1017
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
0.7464
Per class
Predictive accuracy
0.7459
Prior entropy
1.0792
Recall
0.7459
Per class
Relative absolute error
0.5076
Root mean prior squared error
0.315
Root mean squared error
0.3161
Root relative squared error
1.0034
SciMark benchmark
946.9091