DEVELOPMENT... OpenML
Run
127231

Run 127231

Task 3716 (Supervised Classification) tecator 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
0.9708
Per class
Build CPU time
0.4424
Build memory
1463562054.4
F measure
0.9124
Per class
Kappa
0.8207
KB relative information score
186.3243
Mean absolute error
0.1144
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9124
Per class
Predictive accuracy
0.9125
Prior entropy
0.984
Recall
0.9125
Per class
Relative absolute error
0.234
Root mean prior squared error
0.4943
Root mean squared error
0.2528
Root relative squared error
0.5114
SciMark benchmark
937.9119