DEVELOPMENT... OpenML
Run
186803

Run 186803

Task 241 (Supervised Classification) balance-scale 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
0.84
Per class
F measure
0.6935
Per class
Kappa
0.5193
KB relative information score
69.5953
Mean absolute error
0.2637
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6787
Per class
Predictive accuracy
0.733
Prior entropy
1.3212
Recall
0.733
Per class
Relative absolute error
0.6836
Root mean prior squared error
0.4424
Root mean squared error
0.3531
Root relative squared error
0.7982
SciMark benchmark
1319.5177
UserCPU time millis
280
UserCPU time millis testing
10
UserCPU time millis training
270