DEVELOPMENT... OpenML
Run
127355

Run 127355

Task 3852 (Supervised Classification) anneal 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)_I20
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
0.8975
Per class
Build CPU time
0.0808
Build memory
493380616.4276
F measure
0.8293
Per class
Kappa
0.5473
KB relative information score
320.9283
Mean absolute error
0.2059
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8389
Per class
Predictive accuracy
0.8241
Prior entropy
0.7932
Recall
0.8241
Per class
Relative absolute error
0.5666
Root mean prior squared error
0.426
Root mean squared error
0.338
Root relative squared error
0.7934
SciMark benchmark
929.5397