DEVELOPMENT... OpenML
Run
186769

Run 186769

Task 38 (Supervised Classification) ecoli 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
0.9513
Per class
F measure
0.8159
Per class
Kappa
0.7561
KB relative information score
227.2224
Mean absolute error
0.0674
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8152
Per class
Predictive accuracy
0.8244
Prior entropy
2.2353
Recall
0.8244
Per class
Relative absolute error
0.3687
Root mean prior squared error
0.3016
Root mean squared error
0.183
Root relative squared error
0.6068
SciMark benchmark
1327.8711
UserCPU time millis
120
UserCPU time millis testing
20
UserCPU time millis training
100