DEVELOPMENT... OpenML
Run
186786

Run 186786

Task 55 (Supervised Classification) vote 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
0.9871
Per class
F measure
0.9427
Per class
Kappa
0.8797
KB relative information score
378.6952
Mean absolute error
0.062
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9434
Per class
Predictive accuracy
0.9425
Prior entropy
0.9627
Recall
0.9425
Per class
Relative absolute error
0.1308
Root mean prior squared error
0.4869
Root mean squared error
0.2041
Root relative squared error
0.4192
SciMark benchmark
1319.6463
UserCPU time millis
420
UserCPU time millis training
420