DEVELOPMENT... OpenML
Run
187229

Run 187229

Task 3602 (Supervised Classification) visualizing_environmental 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
0.6449
Per class
F measure
0.6878
Per class
Kappa
0.395
KB relative information score
25.419
Mean absolute error
0.3988
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7206
Per class
Predictive accuracy
0.6937
Prior entropy
0.9986
Recall
0.6937
Per class
Relative absolute error
0.7991
Root mean prior squared error
0.4995
Root mean squared error
0.4687
Root relative squared error
0.9383
SciMark benchmark
1372.2145