DEVELOPMENT... OpenML
Run
186789

Run 186789

Task 57 (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
0.9203
Per class
F measure
0.8921
Per class
Kappa
0.7664
KB relative information score
258.453
Mean absolute error
0.1206
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8927
Per class
Predictive accuracy
0.8917
Prior entropy
0.9425
Recall
0.8917
Per class
Relative absolute error
0.262
Root mean prior squared error
0.4797
Root mean squared error
0.3105
Root relative squared error
0.6473
SciMark benchmark
1073.494
UserCPU time millis
1580
UserCPU time millis training
1580