DEVELOPMENT... OpenML
Run
126714

Run 126714

Task 3808 (Supervised Classification) kidney Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I40
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.7139
Per class
Build CPU time
0.0028
Build memory
1663364439.579
F measure
0.7099
Per class
Kappa
0.4242
KB relative information score
23.5637
Mean absolute error
0.3553
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7183
Per class
Predictive accuracy
0.7105
Prior entropy
0.9981
Recall
0.7105
Per class
Relative absolute error
0.7125
Root mean prior squared error
0.4993
Root mean squared error
0.4761
Root relative squared error
0.9535
SciMark benchmark
937.9119