Run
380194

Run 380194

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 31-03-2015 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
0.7009
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8248
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.185
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.9673
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1844
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
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
0.8264
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8605
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8605
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7492
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3523
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.006
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1327.5842
UserCPU time millis
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10-fold Crossvalidation)