DEVELOPMENT... OpenML
Run
127698

Run 127698

Task 3561 (Supervised Classification) profb 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
0.7247
Per class
Build CPU time
0.0363
Build memory
987228299.381
F measure
0.7095
Per class
Kappa
0.336
KB relative information score
168.2377
Mean absolute error
0.3274
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7069
Per class
Predictive accuracy
0.7158
Prior entropy
0.9188
Recall
0.7158
Per class
Relative absolute error
0.7365
Root mean prior squared error
0.4714
Root mean squared error
0.4551
Root relative squared error
0.9655
SciMark benchmark
929.5397