DEVELOPMENT... OpenML
Run
186820

Run 186820

Task 259 (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
0.9226
Per class
F measure
0.8718
Per class
Kappa
0.7433
KB relative information score
156.7009
Mean absolute error
0.1638
Mean prior absolute error
0.4978
Number of instances
227
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8742
Per class
Predictive accuracy
0.8722
Prior entropy
0.9913
Recall
0.8722
Per class
Relative absolute error
0.3291
Root mean prior squared error
0.5008
Root mean squared error
0.3298
Root relative squared error
0.6586
SciMark benchmark
1346.9602
UserCPU time millis
720
UserCPU time millis training
720