DEVELOPMENT... OpenML
Run
117692

Run 117692

Task 3656 (Supervised Classification) diabetes_numeric 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)_I40
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
0.612
Per class
Build CPU time
0.0362
Build memory
1750684666.9767
F measure
0.5814
Per class
Kappa
0.1244
KB relative information score
5.0569
Mean absolute error
0.4135
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
0.5814
Per class
Predictive accuracy
0.5814
Prior entropy
0.971
Recall
0.5814
Per class
Relative absolute error
0.8631
Root mean prior squared error
0.4889
Root mean squared error
0.6395
Root relative squared error
1.3079
SciMark benchmark
874.7324