DEVELOPMENT... OpenML
Run
118462

Run 118462

Task 267 (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
0.7966
Per class
Build CPU time
0.391
Build memory
264764168
F measure
0.7501
Per class
Kappa
0.4582
KB relative information score
97.5283
Mean absolute error
0.2812
Mean prior absolute error
0.4589
Number of instances
253
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7494
Per class
Predictive accuracy
0.751
Prior entropy
0.9335
Recall
0.751
Per class
Relative absolute error
0.6128
Root mean prior squared error
0.4813
Root mean squared error
0.4402
Root relative squared error
0.9147
SciMark benchmark
937.6343