DEVELOPMENT... OpenML
Run
126332

Run 126332

Task 1765 (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)_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
0.9825
Per class
Build CPU time
0.2457
Build memory
895835392
F measure
0.9455
Per class
Kappa
0.8657
KB relative information score
3741.1202
Mean absolute error
0.0201
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9486
Per class
Predictive accuracy
0.9445
Prior entropy
1.2149
Recall
0.9445
Per class
Relative absolute error
0.1496
Root mean prior squared error
0.2582
Root mean squared error
0.1218
Root relative squared error
0.4718
SciMark benchmark
937.9119