DEVELOPMENT... OpenML
Run
186920

Run 186920

Task 1780 (Supervised Classification) mfeat-karhunen 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
0.9591
Per class
F measure
0.7961
Per class
Kappa
0.7729
KB relative information score
7687.7251
Mean absolute error
0.0501
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.798
Per class
Predictive accuracy
0.7956
Prior entropy
3.3219
Recall
0.7956
Per class
Relative absolute error
0.2781
Root mean prior squared error
0.3
Root mean squared error
0.175
Root relative squared error
0.5833
SciMark benchmark
1325.942
UserCPU time millis
120150
UserCPU time millis testing
1510
UserCPU time millis training
118640