DEVELOPMENT... OpenML
Run
186990

Run 186990

Task 2124 (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
0.7376
Per class
F measure
0.7274
Per class
Kappa
0.2188
KB relative information score
17.1361
Mean absolute error
0.0916
Mean prior absolute error
0.1103
Number of instances
135
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8006
Per class
Predictive accuracy
0.7926
Prior entropy
1.1781
Recall
0.7926
Per class
Relative absolute error
0.8305
Root mean prior squared error
0.2325
Root mean squared error
0.2245
Root relative squared error
0.966
SciMark benchmark
1316.0472
UserCPU time millis
240
UserCPU time millis testing
20
UserCPU time millis training
220