DEVELOPMENT... OpenML
Run
111899

Run 111899

Task 37 (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)_I40
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
0.742
Per class
Build CPU time
0.5951
Build memory
777053022.6042
F measure
0.7418
Per class
Kappa
0.4264
KB relative information score
320.5221
Mean absolute error
0.2544
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
0.7403
Per class
Predictive accuracy
0.7448
Prior entropy
0.9335
Recall
0.7448
Per class
Relative absolute error
0.5597
Root mean prior squared error
0.4766
Root mean squared error
0.4977
Root relative squared error
1.0442
SciMark benchmark
936.1433