DEVELOPMENT... OpenML
Run
111307

Run 111307

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)_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
0.7413
Per class
Build CPU time
1.0354
Build memory
100097770.625
F measure
0.7412
Per class
Kappa
0.426
KB relative information score
315.3666
Mean absolute error
0.2575
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
0.7398
Per class
Predictive accuracy
0.7435
Prior entropy
0.9335
Recall
0.7435
Per class
Relative absolute error
0.5665
Root mean prior squared error
0.4766
Root mean squared error
0.504
Root relative squared error
1.0574
SciMark benchmark
925.481