DEVELOPMENT... OpenML
Run
186991

Run 186991

Task 2125 (Supervised Classification) eucalyptus 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
0.8051
Per class
F measure
0.5318
Per class
Kappa
0.4168
KB relative information score
108.4539
Mean absolute error
0.1884
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.551
Per class
Predictive accuracy
0.5537
Prior entropy
2.2629
Recall
0.5537
Per class
Relative absolute error
0.6012
Root mean prior squared error
0.3959
Root mean squared error
0.3848
Root relative squared error
0.972
SciMark benchmark
1316.0472
UserCPU time millis
1610
UserCPU time millis testing
40
UserCPU time millis training
1570