DEVELOPMENT... OpenML
Run
186784

Run 186784

Task 54 (Supervised Classification) hepatitis 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
0.8216
Per class
F measure
0.8094
Per class
Kappa
0.4085
KB relative information score
46.3844
Mean absolute error
0.2041
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8067
Per class
Predictive accuracy
0.8129
Prior entropy
0.7418
Recall
0.8129
Per class
Relative absolute error
0.6189
Root mean prior squared error
0.4048
Root mean squared error
0.3926
Root relative squared error
0.97
SciMark benchmark
1073.494
UserCPU time millis
240
UserCPU time millis training
240

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