DEVELOPMENT... OpenML
Run
127148

Run 127148

Task 3622 (Supervised Classification) autoPrice 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
0.9821
Per class
Build CPU time
0.0631
Build memory
1000211932.5786
F measure
0.9563
Per class
Kappa
0.9032
KB relative information score
142.0277
Mean absolute error
0.0453
Mean prior absolute error
0.4492
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9573
Per class
Predictive accuracy
0.956
Prior entropy
0.9264
Recall
0.956
Per class
Relative absolute error
0.1009
Root mean prior squared error
0.4736
Root mean squared error
0.2082
Root relative squared error
0.4396
SciMark benchmark
943.2074