DEVELOPMENT... OpenML
Run
109645

Run 109645

Task 37 (Supervised Classification) diabetes Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.6725
Per class
Build CPU time
0.0434
Build memory
103219853.4583
F measure
0.7006
Per class
Kappa
0.3363
KB relative information score
244.9883
Mean absolute error
0.2975
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
0.6988
Per class
Predictive accuracy
0.7031
Prior entropy
0.9335
Recall
0.7031
Per class
Relative absolute error
0.6545
Root mean prior squared error
0.4766
Root mean squared error
0.5441
Root relative squared error
1.1415
SciMark benchmark
943.4024