DEVELOPMENT... OpenML
Run
186939

Run 186939

Task 1914 (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
0.4266
Per class
F measure
0.586
Per class
Kappa
-0.0428
KB relative information score
-24.6273
Mean absolute error
0.2834
Mean prior absolute error
0.2871
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.546
Per class
Predictive accuracy
0.6689
Prior entropy
1.0305
Recall
0.6689
Per class
Relative absolute error
0.9873
Root mean prior squared error
0.3755
Root mean squared error
0.41
Root relative squared error
1.0918
SciMark benchmark
1297.5331
UserCPU time millis
40
UserCPU time millis training
40