DEVELOPMENT... OpenML
Run
108915

Run 108915

Task 37 (Supervised Classification) diabetes Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_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_DecisionStump(2)_I80
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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
0.8231
Per class
Build CPU time
0.1178
Build memory
370561853.7188
F measure
0.7479
Per class
Kappa
0.4364
KB relative information score
269.5882
Mean absolute error
0.2956
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
0.7476
Per class
Predictive accuracy
0.7539
Prior entropy
0.9335
Recall
0.7539
Per class
Relative absolute error
0.6504
Root mean prior squared error
0.4766
Root mean squared error
0.4072
Root relative squared error
0.8543
SciMark benchmark
937.279