DEVELOPMENT... OpenML
Run
190136

Run 190136

Task 1886 (Supervised Classification) letter 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
0.9795
Per class
F measure
0.8664
Per class
Kappa
0.8608
KB relative information score
159896.8446
Mean absolute error
0.0235
Mean prior absolute error
0.074
Number of instances
200000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8668
Per class
Predictive accuracy
0.8661
Prior entropy
4.6998
Recall
0.8661
Per class
Relative absolute error
0.3181
Root mean prior squared error
0.1923
Root mean squared error
0.0967
Root relative squared error
0.5028
SciMark benchmark
1346.9602
UserCPU time millis
320820
UserCPU time millis testing
25710
UserCPU time millis training
295110