DEVELOPMENT... OpenML
Run
187249

Run 187249

Task 3622 (Supervised Classification) autoPrice 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
0.9742
Per class
F measure
0.9621
Per class
Kappa
0.9151
KB relative information score
140.3091
Mean absolute error
0.0547
Mean prior absolute error
0.4492
Number of instances
159
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9623
Per class
Predictive accuracy
0.9623
Prior entropy
0.9264
Recall
0.9623
Per class
Relative absolute error
0.1218
Root mean prior squared error
0.4736
Root mean squared error
0.178
Root relative squared error
0.3759
SciMark benchmark
1372.2145
UserCPU time millis
130
UserCPU time millis training
130