DEVELOPMENT... OpenML
Run
186881

Run 186881

Task 1798 (Supervised Classification) postoperative-patient-data 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
0.3985
Per class
F measure
0.5554
Per class
Kappa
-0.1142
KB relative information score
-48.1911
Mean absolute error
0.3008
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5233
Per class
Predictive accuracy
0.5978
Prior entropy
1.0305
Recall
0.5978
Per class
Relative absolute error
1.048
Root mean prior squared error
0.3755
Root mean squared error
0.4471
Root relative squared error
1.1907
SciMark benchmark
1066.7184
UserCPU time millis
40
UserCPU time millis training
40