DEVELOPMENT... OpenML
Run
126683

Run 126683

Task 3774 (Supervised Classification) fri_c2_250_5 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
0.8644
Per class
Build CPU time
0.0093
Build memory
1233202072
F measure
0.7604
Per class
Kappa
0.5149
KB relative information score
109.3317
Mean absolute error
0.289
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7612
Per class
Predictive accuracy
0.76
Prior entropy
0.9898
Recall
0.76
Per class
Relative absolute error
0.5864
Root mean prior squared error
0.4964
Root mean squared error
0.3835
Root relative squared error
0.7725
SciMark benchmark
937.9119