DEVELOPMENT... OpenML
Run
187191

Run 187191

Task 3561 (Supervised Classification) profb 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
0.5985
Per class
F measure
0.6064
Per class
Kappa
0.0903
KB relative information score
44.194
Mean absolute error
0.4073
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.607
Per class
Predictive accuracy
0.6503
Prior entropy
0.9188
Recall
0.6503
Per class
Relative absolute error
0.9161
Root mean prior squared error
0.4714
Root mean squared error
0.4833
Root relative squared error
1.0253
SciMark benchmark
1319.6463
UserCPU time millis
80
UserCPU time millis training
80