DEVELOPMENT... OpenML
Run
186836

Run 186836

Task 277 (Supervised Classification) tae 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
0.638
Per class
F measure
0.5099
Per class
Kappa
0.2571
KB relative information score
10.4351
Mean absolute error
0.3879
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5318
Per class
Predictive accuracy
0.5102
Prior entropy
1.5845
Recall
0.5102
Per class
Relative absolute error
0.8728
Root mean prior squared error
0.4715
Root mean squared error
0.4617
Root relative squared error
0.9792
SciMark benchmark
1346.9602
UserCPU time millis
40
UserCPU time millis training
40