DEVELOPMENT... OpenML
Run
132233

Run 132233

Task 5 (Supervised Classification) arrhythmia Uploaded 26-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I40
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.8725
Per class
Build CPU time
0.5083
Build memory
1446157059.469
F measure
0.5992
Per class
Kappa
0.4055
KB relative information score
175.1959
Mean absolute error
0.0634
Mean prior absolute error
0.0855
Number of instances
452
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5995
Per class
Predictive accuracy
0.6726
Prior entropy
2.5222
Recall
0.6726
Per class
Relative absolute error
0.7415
Root mean prior squared error
0.2055
Root mean squared error
0.1694
Root relative squared error
0.8242
SciMark benchmark
940.5537

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