DEVELOPMENT... OpenML
Run
186760

Run 186760

Task 27 (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
0.8688
Per class
F measure
0.837
Per class
Kappa
0.6501
KB relative information score
208.2546
Mean absolute error
0.2043
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.837
Per class
Predictive accuracy
0.837
Prior entropy
0.9509
Recall
0.837
Per class
Relative absolute error
0.4383
Root mean prior squared error
0.4827
Root mean squared error
0.366
Root relative squared error
0.7582
SciMark benchmark
1346.9602
UserCPU time millis
1150
UserCPU time millis testing
10
UserCPU time millis training
1140