DEVELOPMENT... OpenML
Run
125372

Run 125372

Task 3643 (Supervised Classification) sleuth_ex1714 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
0.8481
Per class
Build CPU time
0.0083
Build memory
2782018008.8511
F measure
0.7651
Per class
Kappa
0.5182
KB relative information score
27.1475
Mean absolute error
0.2023
Mean prior absolute error
0.4894
Number of instances
47
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7649
Per class
Predictive accuracy
0.766
Prior entropy
0.9852
Recall
0.766
Per class
Relative absolute error
0.4134
Root mean prior squared error
0.4944
Root mean squared error
0.3999
Root relative squared error
0.8088
SciMark benchmark
943.2074