DEVELOPMENT... OpenML
Run
186830

Run 186830

Task 246 (Supervised Classification) mfeat-karhunen 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
0.9696
Per class
F measure
0.8243
Per class
Kappa
0.8028
KB relative information score
527.9645
Mean absolute error
0.0444
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8303
Per class
Predictive accuracy
0.8227
Prior entropy
3.3219
Recall
0.8227
Per class
Relative absolute error
0.2469
Root mean prior squared error
0.3
Root mean squared error
0.1619
Root relative squared error
0.5397
SciMark benchmark
1319.5177
UserCPU time millis
115940
UserCPU time millis testing
1450
UserCPU time millis training
114490