DEVELOPMENT... OpenML
Run
187109

Run 187109

Task 3025 (Supervised Classification) hypothyroid 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
0.9953
Per class
F measure
0.9957
Per class
Kappa
0.9719
KB relative information score
35347.1586
Mean absolute error
0.0029
Mean prior absolute error
0.0729
Number of instances
37720
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9954
Per class
Predictive accuracy
0.9959
Prior entropy
0.4715
Recall
0.9959
Per class
Relative absolute error
0.0402
Root mean prior squared error
0.1904
Root mean squared error
0.0443
Root relative squared error
0.2324
SciMark benchmark
1316.0472
UserCPU time millis
12830
UserCPU time millis testing
240
UserCPU time millis training
12590