DEVELOPMENT... OpenML
Run
125117

Run 125117

Task 277 (Supervised Classification) tae 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)_I160
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
0.5874
Per class
Build CPU time
0.004
Build memory
643403144
F measure
0.4836
Per class
Kappa
0.2271
KB relative information score
7.3766
Mean absolute error
0.4157
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5155
Per class
Predictive accuracy
0.4898
Prior entropy
1.5845
Recall
0.4898
Per class
Relative absolute error
0.9354
Root mean prior squared error
0.4715
Root mean squared error
0.4923
Root relative squared error
1.0441
SciMark benchmark
937.9119