DEVELOPMENT... OpenML
Run
166622

Run 166622

Task 2078 (Supervised Classification) braziltourism Uploaded 18-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I80
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.5881
Per class
F measure
0.6668
Per class
Kappa
0.1009
KB relative information score
-301.8245
Mean absolute error
0.1916
Mean prior absolute error
0.1103
Number of instances
412
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.652
Per class
Predictive accuracy
0.7063
Prior entropy
1.1781
Recall
0.7063
Per class
Relative absolute error
1.7366
Root mean prior squared error
0.2325
Root mean squared error
0.2865
Root relative squared error
1.2325
SciMark benchmark
942.6953
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40