DEVELOPMENT... OpenML
Run
187257

Run 187257

Task 3631 (Supervised Classification) analcatdata_apnea2 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
0.9493
Per class
F measure
0.9326
Per class
Kappa
0.7111
KB relative information score
297.5845
Mean absolute error
0.0832
Mean prior absolute error
0.2343
Number of instances
475
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9326
Per class
Predictive accuracy
0.9326
Prior entropy
0.5744
Recall
0.9326
Per class
Relative absolute error
0.3552
Root mean prior squared error
0.3414
Root mean squared error
0.2008
Root relative squared error
0.588
SciMark benchmark
1372.2145
UserCPU time millis
20
UserCPU time millis training
20