DEVELOPMENT... OpenML
Run
187734

Run 187734

Task 1894 (Supervised Classification) mfeat-fourier 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
0.8982
Per class
F measure
0.6815
Per class
Kappa
0.6459
KB relative information score
12880.7991
Mean absolute error
0.0761
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
0.6835
Per class
Predictive accuracy
0.6813
Prior entropy
3.3219
Recall
0.6813
Per class
Relative absolute error
0.4225
Root mean prior squared error
0.3
Root mean squared error
0.2216
Root relative squared error
0.7387
SciMark benchmark
1325.942
UserCPU time millis
202370
UserCPU time millis testing
1840
UserCPU time millis training
200530