DEVELOPMENT... OpenML
Run
186756

Run 186756

Task 23 (Supervised Classification) cmc 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
0.7026
Per class
F measure
0.5118
Per class
Kappa
0.2505
KB relative information score
364.8204
Mean absolute error
0.356
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5201
Per class
Predictive accuracy
0.5078
Prior entropy
1.5392
Recall
0.5078
Per class
Relative absolute error
0.8263
Root mean prior squared error
0.4641
Root mean squared error
0.4467
Root relative squared error
0.9626
SciMark benchmark
1346.9602
UserCPU time millis
1070
UserCPU time millis testing
30
UserCPU time millis training
1040