DEVELOPMENT... OpenML
Run
187296

Run 187296

Task 3668 (Supervised Classification) delta_ailerons 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
0.9721
Per class
F measure
0.9395
Per class
Kappa
0.8785
KB relative information score
5983.2151
Mean absolute error
0.0859
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9396
Per class
Predictive accuracy
0.9395
Prior entropy
0.9973
Recall
0.9395
Per class
Relative absolute error
0.1725
Root mean prior squared error
0.4991
Root mean squared error
0.2247
Root relative squared error
0.4503
SciMark benchmark
1250.8301
UserCPU time millis
390
UserCPU time millis testing
20
UserCPU time millis training
370