DEVELOPMENT... OpenML
Run
186964

Run 186964

Task 1933 (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
0.8825
Per class
F measure
0.7043
Per class
Kappa
0.6077
KB relative information score
5192.1543
Mean absolute error
0.171
Mean prior absolute error
0.3748
Number of instances
8460
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7034
Per class
Predictive accuracy
0.7059
Prior entropy
1.9991
Recall
0.7059
Per class
Relative absolute error
0.4562
Root mean prior squared error
0.4329
Root mean squared error
0.3236
Root relative squared error
0.7475
SciMark benchmark
1072.3689
UserCPU time millis
2780
UserCPU time millis testing
30
UserCPU time millis training
2750