DEVELOPMENT... OpenML
Run
118173

Run 118173

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)_I20
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
0.6335
Per class
Build CPU time
0.0149
Build memory
256630847.2558
F measure
0.6024
Per class
Kappa
0.1646
KB relative information score
6.476
Mean absolute error
0.4003
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
0.6008
Per class
Predictive accuracy
0.6047
Prior entropy
0.971
Recall
0.6047
Per class
Relative absolute error
0.8355
Root mean prior squared error
0.4889
Root mean squared error
0.6291
Root relative squared error
1.2865
SciMark benchmark
944.4197