DEVELOPMENT... OpenML
Run
63219

Run 63219

Task 5 (Supervised Classification) arrhythmia Uploaded 17-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I80
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
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
0.8207
Per class
Build CPU time
0.0172
Build memory
2003014755.3274
F measure
0.4176
Per class
Kappa
0.0736
KB relative information score
102.199
Mean absolute error
0.0738
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
0.3675
Per class
Predictive accuracy
0.5553
Prior entropy
2.5222
Recall
0.5553
Per class
Relative absolute error
0.8627
Root mean prior squared error
0.2055
Root mean squared error
0.1883
Root relative squared error
0.9161
SciMark benchmark
944.3501