DEVELOPMENT... OpenML
Run
186918

Run 186918

Task 1889 (Supervised Classification) autos 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
0.9228
Per class
F measure
0.7533
Per class
Kappa
0.685
KB relative information score
1411.3276
Mean absolute error
0.0729
Mean prior absolute error
0.2209
Number of instances
2050
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7633
Per class
Predictive accuracy
0.7595
Prior entropy
2.3268
Recall
0.7595
Per class
Relative absolute error
0.33
Root mean prior squared error
0.3318
Root mean squared error
0.2435
Root relative squared error
0.7341
SciMark benchmark
1313.5726
UserCPU time millis
480
UserCPU time millis testing
30
UserCPU time millis training
450