DEVELOPMENT... OpenML
Run
17221

Run 17221

Task 36 (Supervised Classification) segment Uploaded 07-06-2014 by Felicia West
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Flow

weka.NBTree(1)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.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9876
Per class
F measure
0.9511
Per class
Kappa
0.9429
KB relative information score
2128.275
Mean absolute error
0.0273
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9511
Per class
Predictive accuracy
0.9511
Prior entropy
2.8074
Recall
0.9511
Per class
Relative absolute error
0.1113
Root mean prior squared error
0.3499
Root mean squared error
0.1108
Root relative squared error
0.3166
SciMark benchmark
882.5747[524.2683171019193988.4355182753967465.83158043487504885.02366459511341549.3144836778856]

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