DEVELOPMENT... OpenML
Run
186986

Run 186986

Task 2119 (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
0.7989
Per class
F measure
0.5421
Per class
Kappa
0.4211
KB relative information score
205.2909
Mean absolute error
0.1133
Mean prior absolute error
0.1553
Number of instances
489
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5458
Per class
Predictive accuracy
0.5521
Prior entropy
2.5035
Recall
0.5521
Per class
Relative absolute error
0.7292
Root mean prior squared error
0.2784
Root mean squared error
0.2434
Root relative squared error
0.8743
SciMark benchmark
1066.7184
UserCPU time millis
480
UserCPU time millis testing
140
UserCPU time millis training
340