DEVELOPMENT... OpenML
Run
186938

Run 186938

Task 1911 (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
0.7599
Per class
F measure
0.7325
Per class
Kappa
0.3509
KB relative information score
2436.0992
Mean absolute error
0.3073
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7292
Per class
Predictive accuracy
0.739
Prior entropy
0.8818
Recall
0.739
Per class
Relative absolute error
0.7315
Root mean prior squared error
0.4583
Root mean squared error
0.4283
Root relative squared error
0.9346
SciMark benchmark
1297.5331
UserCPU time millis
270
UserCPU time millis testing
10
UserCPU time millis training
260