DEVELOPMENT... OpenML
Run
123840

Run 123840

Task 5 (Supervised Classification) arrhythmia Uploaded 21-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_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_LWL_DecisionStump(2)_I20
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.7172
Per class
Build CPU time
82.501
Build memory
120100466.4602
F measure
0.5298
Per class
Kappa
0.2865
KB relative information score
-18.5135
Mean absolute error
0.1057
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
0.5479
Per class
Predictive accuracy
0.604
Prior entropy
2.5222
Recall
0.604
Per class
Relative absolute error
1.236
Root mean prior squared error
0.2055
Root mean squared error
0.2235
Root relative squared error
1.0878
SciMark benchmark
927.3354