DEVELOPMENT... OpenML
Run
62648

Run 62648

Task 3631 (Supervised Classification) analcatdata_apnea2 Uploaded 16-11-2014 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)_I40
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
0.9466
Per class
Build CPU time
0.0078
Build memory
50238296.32
F measure
0.8602
Per class
Kappa
0.3061
KB relative information score
209.0112
Mean absolute error
0.1327
Mean prior absolute error
0.2343
Number of instances
475
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9045
Per class
Predictive accuracy
0.8926
Prior entropy
0.5744
Recall
0.8926
Per class
Relative absolute error
0.5665
Root mean prior squared error
0.3414
Root mean squared error
0.2526
Root relative squared error
0.7397
SciMark benchmark
943.8359