DEVELOPMENT... OpenML
Run
127417

Run 127417

Task 3923 (Supervised Classification) datatrieve 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)_I20
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
0.7998
Per class
Build CPU time
0.0121
Build memory
374507142.4
F measure
0.8633
Per class
Kappa
-0.0376
KB relative information score
-38.9943
Mean absolute error
0.1431
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8361
Per class
Predictive accuracy
0.8923
Prior entropy
0.4395
Recall
0.8923
Per class
Relative absolute error
0.8935
Root mean prior squared error
0.2784
Root mean squared error
0.2999
Root relative squared error
1.0775
SciMark benchmark
943.2074

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