DEVELOPMENT... OpenML
Run
127121

Run 127121

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.8777
Per class
Build CPU time
0.0092
Build memory
677272315.094
F measure
0.8162
Per class
Kappa
0.6279
KB relative information score
245.4224
Mean absolute error
0.2466
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8162
Per class
Predictive accuracy
0.8162
Prior entropy
0.9912
Recall
0.8162
Per class
Relative absolute error
0.4994
Root mean prior squared error
0.4969
Root mean squared error
0.3745
Root relative squared error
0.7538
SciMark benchmark
908.8705