DEVELOPMENT... OpenML
Run
186824

Run 186824

Task 264 (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
0.4752
Per class
F measure
0.6356
Per class
Kappa
0.0369
KB relative information score
-0.9148
Mean absolute error
0.2816
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6211
Per class
Predictive accuracy
0.6897
Prior entropy
1.0305
Recall
0.6897
Per class
Relative absolute error
1.0064
Root mean prior squared error
0.3657
Root mean squared error
0.386
Root relative squared error
1.0556
SciMark benchmark
1073.494
UserCPU time millis
40
UserCPU time millis training
40