DEVELOPMENT... OpenML
Run
186840

Run 186840

Task 281 (Supervised Classification) trains 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
1
Per class
F measure
0.6667
Per class
Kappa
0.4
KB relative information score
0.7582
Mean absolute error
0.3778
Mean prior absolute error
0.5
Number of instances
3
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8333
Per class
Predictive accuracy
0.6667
Prior entropy
1
Recall
0.6667
Per class
Relative absolute error
0.7555
Root mean prior squared error
0.5
Root mean squared error
0.5115
Root relative squared error
1.023
SciMark benchmark
1346.9602