DEVELOPMENT... OpenML
Run
187017

Run 187017

Task 29 (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
0.9138
Per class
F measure
0.8475
Per class
Kappa
0.6908
KB relative information score
454.2124
Mean absolute error
0.1718
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8476
Per class
Predictive accuracy
0.8478
Prior entropy
0.9913
Recall
0.8478
Per class
Relative absolute error
0.3478
Root mean prior squared error
0.497
Root mean squared error
0.3513
Root relative squared error
0.7068
SciMark benchmark
1304.9611
UserCPU time millis
650
UserCPU time millis testing
10
UserCPU time millis training
640