DEVELOPMENT... OpenML
Run
186937

Run 186937

Task 1909 (Supervised Classification) credit-approval 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
0.9159
Per class
F measure
0.8517
Per class
Kappa
0.6992
KB relative information score
4579.997
Mean absolute error
0.1698
Mean prior absolute error
0.494
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8519
Per class
Predictive accuracy
0.852
Prior entropy
0.9913
Recall
0.852
Per class
Relative absolute error
0.3439
Root mean prior squared error
0.497
Root mean squared error
0.3428
Root relative squared error
0.6899
SciMark benchmark
1315.3881
UserCPU time millis
680
UserCPU time millis training
680

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