DEVELOPMENT... OpenML
Run
187065

Run 187065

Task 3055 (Supervised Classification) monks-problems-3 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
0.994
Per class
F measure
0.9945
Per class
Kappa
0.9887
KB relative information score
146.3032
Mean absolute error
0.116
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9946
Per class
Predictive accuracy
0.9945
Prior entropy
0.9989
Recall
0.9945
Per class
Relative absolute error
0.2335
Root mean prior squared error
0.4971
Root mean squared error
0.1638
Root relative squared error
0.3295
SciMark benchmark
1376.7478
UserCPU time millis
90
UserCPU time millis training
90