DEVELOPMENT... OpenML
Run
125202

Run 125202

Task 2124 (Supervised Classification) braziltourism 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)_I160
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
0.549
Per class
Build CPU time
0.024
Build memory
1277987512
F measure
0.6402
Per class
Kappa
0.0368
KB relative information score
-100.6286
Mean absolute error
0.1904
Mean prior absolute error
0.1103
Number of instances
135
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6096
Per class
Predictive accuracy
0.6741
Prior entropy
1.1781
Recall
0.6741
Per class
Relative absolute error
1.7255
Root mean prior squared error
0.2325
Root mean squared error
0.2887
Root relative squared error
1.2421
SciMark benchmark
909.5718