DEVELOPMENT... OpenML
Run
187008

Run 187008

Task 2122 (Supervised Classification) kropt 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
0.8998
Per class
F measure
0.5627
Per class
Kappa
0.5134
KB relative information score
5006.5959
Mean absolute error
0.0626
Mean prior absolute error
0.0995
Number of instances
9258
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5689
Per class
Predictive accuracy
0.5668
Prior entropy
3.5053
Recall
0.5668
Per class
Relative absolute error
0.6288
Root mean prior squared error
0.2231
Root mean squared error
0.1855
Root relative squared error
0.8315
SciMark benchmark
1066.7184
UserCPU time millis
31750
UserCPU time millis testing
6700
UserCPU time millis training
25050