DEVELOPMENT... OpenML
Run
134068

Run 134068

Task 50 (Supervised Classification) heart-h 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)_I10
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
0.8113
Per class
Build CPU time
0.0099
Build memory
951367061.9864
F measure
0.7977
Per class
Kappa
0.5584
KB relative information score
151.314
Mean absolute error
0.081
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
0.7971
Per class
Predictive accuracy
0.7993
Prior entropy
1.0314
Recall
0.7993
Per class
Relative absolute error
0.4337
Root mean prior squared error
0.3037
Root mean squared error
0.2764
Root relative squared error
0.91
SciMark benchmark
946.9091

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