DEVELOPMENT... OpenML
Run
136775

Run 136775

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.543
Per class
Build CPU time
0.003
Build memory
734513651.5349
F measure
0.5601
Per class
Kappa
0.0851
KB relative information score
2.5901
Mean absolute error
0.4419
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5627
Per class
Predictive accuracy
0.5581
Prior entropy
0.971
Recall
0.5581
Per class
Relative absolute error
0.9223
Root mean prior squared error
0.4889
Root mean squared error
0.6647
Root relative squared error
1.3595
SciMark benchmark
926.507