DEVELOPMENT... OpenML
Run
186860

Run 186860

Task 244 (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
0.8833
Per class
F measure
0.6674
Per class
Kappa
0.6325
KB relative information score
414.2472
Mean absolute error
0.0799
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6702
Per class
Predictive accuracy
0.6697
Prior entropy
3.3219
Recall
0.6697
Per class
Relative absolute error
0.4441
Root mean prior squared error
0.3
Root mean squared error
0.2241
Root relative squared error
0.7471
SciMark benchmark
1319.6463
UserCPU time millis
197900
UserCPU time millis testing
1760
UserCPU time millis training
196140