DEVELOPMENT... OpenML
Run
186874

Run 186874

Task 1791 (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
0.8518
Per class
F measure
0.8012
Per class
Kappa
0.5726
KB relative information score
954.754
Mean absolute error
0.2229
Mean prior absolute error
0.4662
Number of instances
1840
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8009
Per class
Predictive accuracy
0.8016
Prior entropy
0.9509
Recall
0.8016
Per class
Relative absolute error
0.4782
Root mean prior squared error
0.4827
Root mean squared error
0.3957
Root relative squared error
0.8198
SciMark benchmark
1355.9413
UserCPU time millis
1130
UserCPU time millis testing
10
UserCPU time millis training
1120