DEVELOPMENT... OpenML
Run
134682

Run 134682

Task 235 (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)_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
0.6255
Per class
Build CPU time
0.007
Build memory
574715792
F measure
0.4784
Per class
Kappa
0.2545
KB relative information score
40.6342
Mean absolute error
0.0612
Mean prior absolute error
0.0878
Number of instances
149
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4676
Per class
Predictive accuracy
0.5101
Prior entropy
2.5222
Recall
0.5101
Per class
Relative absolute error
0.6972
Root mean prior squared error
0.211
Root mean squared error
0.2475
Root relative squared error
1.1727
SciMark benchmark
946.9091