DEVELOPMENT... OpenML
Run
108936

Run 108936

Task 235 (Supervised Classification) arrhythmia Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I80
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.6774
Per class
Build CPU time
0.058
Build memory
193549040
F measure
0.4022
Per class
Kappa
0.1977
KB relative information score
-12.4871
Mean absolute error
0.1146
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
0.3292
Per class
Predictive accuracy
0.5235
Prior entropy
2.5222
Recall
0.5235
Per class
Relative absolute error
1.305
Root mean prior squared error
0.211
Root mean squared error
0.2369
Root relative squared error
1.1227
SciMark benchmark
926.7725