DEVELOPMENT... OpenML
Run
134030

Run 134030

Task 5 (Supervised Classification) arrhythmia 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
0.6638
Per class
Build CPU time
0.0283
Build memory
819751527.8938
F measure
0.5484
Per class
Kappa
0.3196
KB relative information score
147.3106
Mean absolute error
0.056
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
0.5546
Per class
Predictive accuracy
0.5509
Prior entropy
2.5222
Recall
0.5509
Per class
Relative absolute error
0.6551
Root mean prior squared error
0.2055
Root mean squared error
0.2361
Root relative squared error
1.149
SciMark benchmark
946.9091