DEVELOPMENT... OpenML
Run
111358

Run 111358

Task 267 (Supervised Classification) diabetes Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.7135
Per class
Build CPU time
0.765
Build memory
527334640
F measure
0.7008
Per class
Kappa
0.3489
KB relative information score
87.5211
Mean absolute error
0.2908
Mean prior absolute error
0.4589
Number of instances
253
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6992
Per class
Predictive accuracy
0.7036
Prior entropy
0.9335
Recall
0.7036
Per class
Relative absolute error
0.6337
Root mean prior squared error
0.4813
Root mean squared error
0.5346
Root relative squared error
1.1108
SciMark benchmark
943.4039