Run
348664

Run 348664

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.8029
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9775
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6935
Cross-validation details (10-fold Crossvalidation)
KB relative information score
328.0545
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0278
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9803
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3322
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1389
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6852
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1343.3311
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)