Run
348684

Run 348684

Task 3873 (Supervised Classification) dermatology Uploaded 27-03-2015 by Joaquin Vanschoren
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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
0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9808
Cross-validation details (10-fold Crossvalidation)
KB relative information score
357.8843
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0084
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9918
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0197
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0819
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1776
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1324.6442
UserCPU time millis
370
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
360
Cross-validation details (10-fold Crossvalidation)