DEVELOPMENT... OpenML
Run
20000

Run 20000

Task 37 (Supervised Classification) diabetes Uploaded 18-06-2014 by Felicia West
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Flow

weka.Bagging_DecisionStump(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(1)_I10
weka.Bagging_DecisionStump(1)_P100
weka.Bagging_DecisionStump(1)_S1
weka.Bagging_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7529
Per class
F measure
0.7174
Per class
Kappa
0.3684
KB relative information score
131.8655
Mean absolute error
0.3835
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.716
Per class
Predictive accuracy
0.724
Prior entropy
0.9335
Recall
0.724
Per class
Relative absolute error
0.8439
Root mean prior squared error
0.4766
Root mean squared error
0.4315
Root relative squared error
0.9053
SciMark benchmark
942.5592[560.48863959327881009.9344946043965481.93081680843505908.32981910425011752.112015678972]

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