DEVELOPMENT... OpenML
Run
52900

Run 52900

Task 1736 (Learning Curve) diabetes Uploaded 07-11-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.805 ± 0.0468
Per class
Build CPU time
0.2261
Build memory
887499158.8
F measure
0.7529 ± 0.058
Per class
Kappa
0.4518 ± 0.132
KB relative information score
0.3783 ± 0.0942
Mean absolute error
0.2782 ± 0.0376
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
0.7516 ± 0.0576
Per class
Predictive accuracy
0.7552 ± 0.0547
Prior entropy
0.9331 ± 0.0046
Recall
0.7552 ± 0.0547
Per class
Relative absolute error
0.6122 ± 0.0828
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4327 ± 0.0426
Root relative squared error
0.9079 ± 0.0897
SciMark benchmark
942.4911