DEVELOPMENT... OpenML
Run
187434

Run 187434

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9655
Per class
F measure
0.9622
Per class
Kappa
0.917
KB relative information score
112.5355
Mean absolute error
0.0731
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9624
Per class
Predictive accuracy
0.9621
Prior entropy
0.9347
Recall
0.9621
Per class
Relative absolute error
0.1607
Root mean prior squared error
0.4765
Root mean squared error
0.1898
Root relative squared error
0.3983
SciMark benchmark
893.0505
UserCPU time millis
50
UserCPU time millis training
50