DEVELOPMENT... OpenML
Run
105173

Run 105173

Task 267 (Supervised Classification) diabetes Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.8128
Per class
Build CPU time
0.331
Build memory
38504104
F measure
0.7428
Per class
Kappa
0.4377
KB relative information score
100.5623
Mean absolute error
0.2743
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
0.742
Per class
Predictive accuracy
0.747
Prior entropy
0.9335
Recall
0.747
Per class
Relative absolute error
0.5978
Root mean prior squared error
0.4813
Root mean squared error
0.4372
Root relative squared error
0.9085
SciMark benchmark
913.4921