DEVELOPMENT... OpenML
Run
186846

Run 186846

Task 283 (Supervised Classification) vehicle 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
0.8375
Per class
F measure
0.6448
Per class
Kappa
0.5353
KB relative information score
156.6146
Mean absolute error
0.1891
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6402
Per class
Predictive accuracy
0.6523
Prior entropy
1.9991
Recall
0.6523
Per class
Relative absolute error
0.5047
Root mean prior squared error
0.4328
Root mean squared error
0.3666
Root relative squared error
0.8469
SciMark benchmark
1346.9602
UserCPU time millis
3080
UserCPU time millis testing
40
UserCPU time millis training
3040