DEVELOPMENT... OpenML
Run
95256

Run 95256

Task 37 (Supervised Classification) diabetes Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8065
Per class
Build CPU time
0.0234
Build memory
207496200.6354
F measure
0.7399
Per class
Kappa
0.4185
KB relative information score
240.4753
Mean absolute error
0.3142
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
0.7393
Per class
Predictive accuracy
0.7461
Prior entropy
0.9335
Recall
0.7461
Per class
Relative absolute error
0.6914
Root mean prior squared error
0.4766
Root mean squared error
0.4148
Root relative squared error
0.8702
SciMark benchmark
940.7816