DEVELOPMENT... OpenML
Run
52188

Run 52188

Task 1736 (Learning Curve) diabetes Uploaded 07-11-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RealAdaBoost_JRip(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.RealAdaBoost_JRip(1)_P100
weka.RealAdaBoost_JRip(1)_H1.0
weka.RealAdaBoost_JRip(1)_S1
weka.RealAdaBoost_JRip(1)_I10
weka.RealAdaBoost_JRip(1)_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
0.7908 ± 0.0526
Per class
Build CPU time
0.058
Build memory
836290620.6
F measure
0.7472 ± 0.0414
Per class
Kappa
0.4431 ± 0.0948
KB relative information score
0.3468 ± 0.0687
Mean absolute error
0.2942 ± 0.0292
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
0.747 ± 0.043
Per class
Predictive accuracy
0.7474 ± 0.0402
Prior entropy
0.9331 ± 0.0046
Recall
0.7474 ± 0.0402
Per class
Relative absolute error
0.6472 ± 0.0644
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4323 ± 0.0291
Root relative squared error
0.9069 ± 0.0606
SciMark benchmark
946.7958