DEVELOPMENT... OpenML
Run
115810

Run 115810

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

weka.AdaBoostM1_JRip(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_JRip(2)_I160
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.8005
Per class
Build CPU time
0.344
Build memory
1160790297.3542
F measure
0.7424
Per class
Kappa
0.4252
KB relative information score
278.703
Mean absolute error
0.2861
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
0.7413
Per class
Predictive accuracy
0.7474
Prior entropy
0.9335
Recall
0.7474
Per class
Relative absolute error
0.6294
Root mean prior squared error
0.4766
Root mean squared error
0.4325
Root relative squared error
0.9073
SciMark benchmark
913.3372