DEVELOPMENT... OpenML
Run
187318

Run 187318

Task 3692 (Supervised Classification) disclosure_x_noise 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
0.4999
Per class
F measure
0.3602
Per class
Kappa
0.0034
KB relative information score
1.2704
Mean absolute error
0.499
Mean prior absolute error
0.5
Number of instances
662
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5166
Per class
Predictive accuracy
0.5045
Prior entropy
1
Recall
0.5045
Per class
Relative absolute error
0.9981
Root mean prior squared error
0.5
Root mean squared error
0.5025
Root relative squared error
1.0051
SciMark benchmark
1372.2145
UserCPU time millis
10
UserCPU time millis training
10