DEVELOPMENT... OpenML
Run
11079

Run 11079

Task 37 (Supervised Classification) diabetes Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I160
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8085
Per class
F measure
0.7495
Per class
Kappa
0.4415
KB relative information score
272.6761
Mean absolute error
0.2921
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
0.7484
Per class
Predictive accuracy
0.7539
Prior entropy
0.9335
Recall
0.7539
Per class
Relative absolute error
0.6427
Root mean prior squared error
0.4766
Root mean squared error
0.4184
Root relative squared error
0.8778
SciMark benchmark
947.9329[565.39404163109531015.52310425331483.449727694041912.43991219425081762.8578651418343]