DEVELOPMENT... OpenML
Run
186906

Run 186906

Task 16 (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
0.9697
Per class
F measure
0.8352
Per class
Kappa
0.8161
KB relative information score
1622.3704
Mean absolute error
0.0411
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.838
Per class
Predictive accuracy
0.8345
Prior entropy
3.3219
Recall
0.8345
Per class
Relative absolute error
0.2286
Root mean prior squared error
0.3
Root mean squared error
0.1579
Root relative squared error
0.5262
SciMark benchmark
1313.5726
UserCPU time millis
121090
UserCPU time millis testing
1510
UserCPU time millis training
119580