DEVELOPMENT... OpenML
Run
187327

Run 187327

Task 3701 (Supervised Classification) sleuth_case1102 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
0.4316
Per class
F measure
0.3945
Per class
Kappa
-0.2274
KB relative information score
-2.3226
Mean absolute error
0.5198
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3876
Per class
Predictive accuracy
0.4118
Prior entropy
0.9911
Recall
0.4118
Per class
Relative absolute error
1.0534
Root mean prior squared error
0.4965
Root mean squared error
0.5542
Root relative squared error
1.1161
SciMark benchmark
1350.9691