DEVELOPMENT... OpenML
Run
186825

Run 186825

Task 265 (Supervised Classification) dermatology 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
0.9998
Per class
F measure
0.9835
Per class
Kappa
0.9789
KB relative information score
115.1261
Mean absolute error
0.0111
Mean prior absolute error
0.2653
Number of instances
120
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9856
Per class
Predictive accuracy
0.9833
Prior entropy
2.4378
Recall
0.9833
Per class
Relative absolute error
0.042
Root mean prior squared error
0.3633
Root mean squared error
0.067
Root relative squared error
0.1845
SciMark benchmark
1073.494
UserCPU time millis
2640
UserCPU time millis testing
50
UserCPU time millis training
2590