DEVELOPMENT... OpenML
Run
187315

Run 187315

Task 3689 (Supervised Classification) fri_c1_500_10 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
0.9059
Per class
F measure
0.8521
Per class
Kappa
0.7015
KB relative information score
316.5609
Mean absolute error
0.1897
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8521
Per class
Predictive accuracy
0.852
Prior entropy
0.9934
Recall
0.852
Per class
Relative absolute error
0.383
Root mean prior squared error
0.4977
Root mean squared error
0.3499
Root relative squared error
0.703
SciMark benchmark
1372.2145
UserCPU time millis
130
UserCPU time millis training
130