DEVELOPMENT... OpenML
Run
186974

Run 186974

Task 2073 (Supervised Classification) yeast 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
0.8094
Per class
F measure
0.5587
Per class
Kappa
0.438
KB relative information score
638.8752
Mean absolute error
0.1112
Mean prior absolute error
0.1555
Number of instances
1484
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5564
Per class
Predictive accuracy
0.5681
Prior entropy
2.5035
Recall
0.5681
Per class
Relative absolute error
0.7152
Root mean prior squared error
0.2787
Root mean squared error
0.2382
Root relative squared error
0.8547
SciMark benchmark
1072.3689
UserCPU time millis
470
UserCPU time millis testing
150
UserCPU time millis training
320