DEVELOPMENT... OpenML
Run
139732

Run 139732

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

weka.AdaBoostM1_REPTree(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_REPTree(2)_I10
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.7138
Per class
Build CPU time
0.0017
Build memory
852659779.3488
F measure
0.6492
Per class
Kappa
0.2629
KB relative information score
11.2184
Mean absolute error
0.35
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
0.6479
Per class
Predictive accuracy
0.6512
Prior entropy
0.971
Recall
0.6512
Per class
Relative absolute error
0.7305
Root mean prior squared error
0.4889
Root mean squared error
0.488
Root relative squared error
0.998
SciMark benchmark
918.7639