DEVELOPMENT... OpenML
Run
186809

Run 186809

Task 237 (Supervised Classification) audiology 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
0.8187
Per class
F measure
0.5642
Per class
Kappa
0.5666
KB relative information score
37.6148
Mean absolute error
0.0324
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5418
Per class
Predictive accuracy
0.6216
Prior entropy
3.6349
Recall
0.6216
Per class
Relative absolute error
0.4396
Root mean prior squared error
0.1925
Root mean squared error
0.1723
Root relative squared error
0.8946
SciMark benchmark
1327.8711
UserCPU time millis
14800
UserCPU time millis testing
1010
UserCPU time millis training
13790