DEVELOPMENT... OpenML
Run
186817

Run 186817

Task 257 (Supervised Classification) colic 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
0.8532
Per class
F measure
0.8082
Per class
Kappa
0.6126
KB relative information score
71.1974
Mean absolute error
0.2252
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8122
Per class
Predictive accuracy
0.8099
Prior entropy
0.9509
Recall
0.8099
Per class
Relative absolute error
0.4612
Root mean prior squared error
0.505
Root mean squared error
0.3976
Root relative squared error
0.7872
SciMark benchmark
825.5282
UserCPU time millis
1130
UserCPU time millis training
1130