DEVELOPMENT... OpenML
Run
186821

Run 186821

Task 261 (Supervised Classification) credit-g 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
0.7466
Per class
F measure
0.7356
Per class
Kappa
0.3505
KB relative information score
91.206
Mean absolute error
0.2953
Mean prior absolute error
0.4202
Number of instances
330
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7341
Per class
Predictive accuracy
0.7485
Prior entropy
0.8818
Recall
0.7485
Per class
Relative absolute error
0.7028
Root mean prior squared error
0.4583
Root mean squared error
0.432
Root relative squared error
0.9428
SciMark benchmark
1346.9602
UserCPU time millis
290
UserCPU time millis testing
10
UserCPU time millis training
280