DEVELOPMENT... OpenML
Run
187310

Run 187310

Task 3683 (Supervised Classification) diggle_table_a2 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
0.9944
Per class
F measure
0.9935
Per class
Kappa
0.987
KB relative information score
302.8669
Mean absolute error
0.0127
Mean prior absolute error
0.4979
Number of instances
310
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9935
Per class
Predictive accuracy
0.9935
Prior entropy
0.997
Recall
0.9935
Per class
Relative absolute error
0.0255
Root mean prior squared error
0.499
Root mean squared error
0.0787
Root relative squared error
0.1577
SciMark benchmark
1250.8301
UserCPU time millis
30
UserCPU time millis training
30