DEVELOPMENT... OpenML
Run
127901

Run 127901

Task 3795 (Supervised Classification) fri_c4_100_50 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
0.5047
Per class
Build CPU time
0.0446
Build memory
2218798879.2
F measure
0.5113
Per class
Kappa
0.0129
KB relative information score
-1.9872
Mean absolute error
0.4994
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5136
Per class
Predictive accuracy
0.51
Prior entropy
0.99
Recall
0.51
Per class
Relative absolute error
1.0131
Root mean prior squared error
0.4964
Root mean squared error
0.6761
Root relative squared error
1.3619
SciMark benchmark
943.5504