DEVELOPMENT... OpenML
Run
55334

Run 55334

Task 1736 (Learning Curve) diabetes Uploaded 10-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.7454 ± 0.0655
Per class
Build CPU time
0.0026
Build memory
151395149.5
F measure
0.7232 ± 0.0453
Per class
Kappa
0.3796 ± 0.0964
KB relative information score
0.1926 ± 0.0522
Mean absolute error
0.376 ± 0.0179
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7232 ± 0.0437
Per class
Predictive accuracy
0.7318 ± 0.0443
Prior entropy
0.9331 ± 0.0046
Recall
0.7318 ± 0.0443
Per class
Relative absolute error
0.8274 ± 0.0389
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4296 ± 0.0232
Root relative squared error
0.9012 ± 0.0484
SciMark benchmark
1814.8577