DEVELOPMENT... OpenML
Run
187316

Run 187316

Task 3690 (Supervised Classification) boston_corrected 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
0.8965
Per class
F measure
0.8476
Per class
Kappa
0.6906
KB relative information score
343.6391
Mean absolute error
0.1588
Mean prior absolute error
0.493
Number of instances
506
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8476
Per class
Predictive accuracy
0.8478
Prior entropy
0.9899
Recall
0.8478
Per class
Relative absolute error
0.3221
Root mean prior squared error
0.4965
Root mean squared error
0.3711
Root relative squared error
0.7475
SciMark benchmark
1372.2145
UserCPU time millis
1050
UserCPU time millis testing
10
UserCPU time millis training
1040