DEVELOPMENT... OpenML
Run
186954

Run 186954

Task 1931 (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
0.8
Per class
F measure
0.697
Per class
Kappa
0.4
KB relative information score
34.6054
Mean absolute error
0.3295
Mean prior absolute error
0.5
Number of instances
100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7083
Per class
Predictive accuracy
0.7
Prior entropy
1
Recall
0.7
Per class
Relative absolute error
0.659
Root mean prior squared error
0.5
Root mean squared error
0.4554
Root relative squared error
0.9108
SciMark benchmark
1072.3689