DEVELOPMENT... OpenML
Run
145740

Run 145740

Task 37 (Supervised Classification) diabetes Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I20
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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.

22 Evaluation measures

Area under ROC curve
0.7693
Per class
F measure
0.7151
Per class
Kappa
0.3668
KB relative information score
284.5913
Mean absolute error
0.2747
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7132
Per class
Predictive accuracy
0.7188
Prior entropy
0.9335
Recall
0.7188
Per class
Relative absolute error
0.6044
Root mean prior squared error
0.4766
Root mean squared error
0.505
Root relative squared error
1.0594
SciMark benchmark
923.3111
UserCPU time millis
1230
UserCPU time millis training
1230