DEVELOPMENT... OpenML
Run
187227

Run 187227

Task 1902 (Supervised Classification) mfeat-zernike 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
0.9011
Per class
F measure
0.6602
Per class
Kappa
0.619
KB relative information score
12939.4559
Mean absolute error
0.0766
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6641
Per class
Predictive accuracy
0.6571
Prior entropy
3.3219
Recall
0.6571
Per class
Relative absolute error
0.4258
Root mean prior squared error
0.3
Root mean squared error
0.2267
Root relative squared error
0.7557
SciMark benchmark
1372.2145
UserCPU time millis
76040
UserCPU time millis testing
1140
UserCPU time millis training
74900