DEVELOPMENT... OpenML
Run
12827

Run 12827

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)_I20
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
0.8057
Per class
F measure
0.7344
Per class
Kappa
0.4048
KB relative information score
249.8361
Mean absolute error
0.3078
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
0.7345
Per class
Predictive accuracy
0.7422
Prior entropy
0.9335
Recall
0.7422
Per class
Relative absolute error
0.6772
Root mean prior squared error
0.4766
Root mean squared error
0.4158
Root relative squared error
0.8724
SciMark benchmark
945.3164[558.69335417099721014.4538012229739489.1761913564198907.0727062654921757.1857345400422]