DEVELOPMENT... OpenML
Run
127686

Run 127686

Task 3550 (Supervised Classification) analcatdata_asbestos 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)_I10
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
0.7808
Per class
Build CPU time
0.0013
Build memory
357299993.4458
F measure
0.7837
Per class
Kappa
0.568
KB relative information score
35.8826
Mean absolute error
0.2957
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7925
Per class
Predictive accuracy
0.7831
Prior entropy
0.9919
Recall
0.7831
Per class
Relative absolute error
0.5982
Root mean prior squared error
0.4971
Root mean squared error
0.4164
Root relative squared error
0.8377
SciMark benchmark
943.2074