DEVELOPMENT... OpenML
Run
118412

Run 118412

Task 37 (Supervised Classification) diabetes Uploaded 10-12-2014 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
0.7996
Per class
Build CPU time
0.6777
Build memory
245754999.2188
F measure
0.7529
Per class
Kappa
0.4518
KB relative information score
292.5271
Mean absolute error
0.2776
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
0.7516
Per class
Predictive accuracy
0.7552
Prior entropy
0.9335
Recall
0.7552
Per class
Relative absolute error
0.6108
Root mean prior squared error
0.4766
Root mean squared error
0.4344
Root relative squared error
0.9115
SciMark benchmark
945.0532