DEVELOPMENT... OpenML
Run
187240

Run 187240

Task 3613 (Supervised Classification) servo 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
0.9839
Per class
F measure
0.9529
Per class
Kappa
0.8686
KB relative information score
127.3805
Mean absolute error
0.0788
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9551
Per class
Predictive accuracy
0.9521
Prior entropy
0.7794
Recall
0.9521
Per class
Relative absolute error
0.2231
Root mean prior squared error
0.4193
Root mean squared error
0.1982
Root relative squared error
0.4726
SciMark benchmark
1372.2145
UserCPU time millis
40
UserCPU time millis training
40