DEVELOPMENT... OpenML
Run
50947

Run 50947

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 by Felicia West
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Flow

weka.MultiBoostAB_JRip(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.MultiBoostAB_JRip(2)_C3
weka.MultiBoostAB_JRip(2)_P100
weka.MultiBoostAB_JRip(2)_S1
weka.MultiBoostAB_JRip(2)_I10
weka.MultiBoostAB_JRip(2)_Wweka.classifiers.rules.JRip

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
0.8101 ± 0.041
Per class
Build CPU time
0.0905
Build memory
381194035.9
F measure
0.7418 ± 0.0285
Per class
Kappa
0.4248 ± 0.0638
KB relative information score
0.4254 ± 0.0658
Mean absolute error
0.2507 ± 0.0295
Mean prior absolute error
0.4545 ± 0.0015
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
0.7405 ± 0.0306
Per class
Predictive accuracy
0.7461 ± 0.0278
Prior entropy
0.9331 ± 0.0046
Recall
0.7461 ± 0.0278
Per class
Relative absolute error
0.5515 ± 0.0639
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4739 ± 0.025
Root relative squared error
0.9943 ± 0.0508
SciMark benchmark
930.7723