DEVELOPMENT... OpenML
Run
187272

Run 187272

Task 3646 (Supervised Classification) rabe_265 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
0.554
Per class
F measure
0.5922
Per class
Kappa
0.1905
KB relative information score
5.0009
Mean absolute error
0.4427
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6684
Per class
Predictive accuracy
0.6471
Prior entropy
0.9791
Recall
0.6471
Per class
Relative absolute error
0.9128
Root mean prior squared error
0.4922
Root mean squared error
0.4926
Root relative squared error
1.001
SciMark benchmark
1372.2145