DEVELOPMENT... OpenML
Run
168852

Run 168852

Task 3820 (Supervised Classification) braziltourism Uploaded 20-02-2015 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)_I10
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
0.6582
Per class
F measure
0.7592
Per class
Kappa
0.2656
KB relative information score
124.7591
Mean absolute error
0.2168
Mean prior absolute error
0.3529
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
0.7607
Per class
Predictive accuracy
0.7888
Prior entropy
0.7771
Recall
0.7888
Per class
Relative absolute error
0.6142
Root mean prior squared error
0.4196
Root mean squared error
0.4443
Root relative squared error
1.0586
SciMark benchmark
927.0753
UserCPU time millis
40
UserCPU time millis testing
20
UserCPU time millis training
20