DEVELOPMENT... OpenML
Run
187221

Run 187221

Task 3594 (Supervised Classification) analcatdata_supreme 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
0.9899
Per class
F measure
0.9931
Per class
Kappa
0.9809
KB relative information score
3905.6623
Mean absolute error
0.0148
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9931
Per class
Predictive accuracy
0.9931
Prior entropy
0.7946
Recall
0.9931
Per class
Relative absolute error
0.0405
Root mean prior squared error
0.4269
Root mean squared error
0.0832
Root relative squared error
0.195
SciMark benchmark
1250.8301
UserCPU time millis
310
UserCPU time millis testing
20
UserCPU time millis training
290