DEVELOPMENT... OpenML
Run
187476

Run 187476

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.8029
Per class
F measure
0.9775
Per class
Kappa
0.6935
KB relative information score
328.0545
Mean absolute error
0.0278
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9807
Per class
Predictive accuracy
0.9803
Prior entropy
0.2628
Recall
0.9803
Per class
Relative absolute error
0.3322
Root mean prior squared error
0.2027
Root mean squared error
0.1389
Root relative squared error
0.6852
SciMark benchmark
937.1038
UserCPU time millis
120
UserCPU time millis testing
10
UserCPU time millis training
110