DEVELOPMENT... OpenML
Run
186933

Run 186933

Task 1907 (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
0.8619
Per class
F measure
0.8197
Per class
Kappa
0.6106
KB relative information score
2050.3511
Mean absolute error
0.2067
Mean prior absolute error
0.4662
Number of instances
3680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8195
Per class
Predictive accuracy
0.8212
Prior entropy
0.9509
Recall
0.8212
Per class
Relative absolute error
0.4434
Root mean prior squared error
0.4827
Root mean squared error
0.3815
Root relative squared error
0.7904
SciMark benchmark
1072.3689
UserCPU time millis
1100
UserCPU time millis testing
10
UserCPU time millis training
1090