DEVELOPMENT... OpenML
Run
187026

Run 187026

Task 2943 (Supervised Classification) braziltourism Uploaded 25-02-2015 by Felicia West
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.6514
Per class
F measure
0.6968
Per class
Kappa
0.1281
KB relative information score
551.6682
Mean absolute error
0.0937
Mean prior absolute error
0.1103
Number of instances
4120
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6708
Per class
Predictive accuracy
0.7658
Prior entropy
1.1781
Recall
0.7658
Per class
Relative absolute error
0.8491
Root mean prior squared error
0.2325
Root mean squared error
0.2296
Root relative squared error
0.9875
SciMark benchmark
1361.1055
UserCPU time millis
240
UserCPU time millis testing
20
UserCPU time millis training
220