DEVELOPMENT... OpenML
Run
186766

Run 186766

Task 34 (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
0.4141
Per class
F measure
0.6037
Per class
Kappa
0.0122
KB relative information score
-2.9753
Mean absolute error
0.2861
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5957
Per class
Predictive accuracy
0.7
Prior entropy
1.0305
Recall
0.7
Per class
Relative absolute error
0.9966
Root mean prior squared error
0.3755
Root mean squared error
0.4001
Root relative squared error
1.0657
SciMark benchmark
1327.8711
UserCPU time millis
40
UserCPU time millis training
40