DEVELOPMENT... OpenML
Run
186900

Run 186900

Task 1819 (Supervised Classification) vote 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
0.9822
Per class
F measure
0.9395
Per class
Kappa
0.8728
KB relative information score
1847.9816
Mean absolute error
0.072
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9401
Per class
Predictive accuracy
0.9393
Prior entropy
0.9627
Recall
0.9393
Per class
Relative absolute error
0.1519
Root mean prior squared error
0.4869
Root mean squared error
0.2194
Root relative squared error
0.4506
SciMark benchmark
825.5282
UserCPU time millis
440
UserCPU time millis training
440