DEVELOPMENT... OpenML
Run
186963

Run 186963

Task 1937 (Supervised Classification) ionosphere 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
0.9193
Per class
F measure
0.8974
Per class
Kappa
0.776
KB relative information score
2622.0681
Mean absolute error
0.1162
Mean prior absolute error
0.4604
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8974
Per class
Predictive accuracy
0.898
Prior entropy
0.9425
Recall
0.898
Per class
Relative absolute error
0.2524
Root mean prior squared error
0.4797
Root mean squared error
0.3031
Root relative squared error
0.6319
SciMark benchmark
1335.4072
UserCPU time millis
1580
UserCPU time millis testing
10
UserCPU time millis training
1570