DEVELOPMENT... OpenML
Run
187049

Run 187049

Task 3011 (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
0.9964
Per class
F measure
0.9967
Per class
Kappa
0.9782
KB relative information score
3572.5489
Mean absolute error
0.0023
Mean prior absolute error
0.0729
Number of instances
3772
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9966
Per class
Predictive accuracy
0.9968
Prior entropy
0.4715
Recall
0.9968
Per class
Relative absolute error
0.0315
Root mean prior squared error
0.1904
Root mean squared error
0.0392
Root relative squared error
0.206
SciMark benchmark
1341.5768
UserCPU time millis
13140
UserCPU time millis testing
230
UserCPU time millis training
12910