OpenML
167230

Run 167230

Task 39 (Supervised Classification) sonar Uploaded 18-02-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I40
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.8739
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.826
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.65
Cross-validation details (10-fold Crossvalidation)
KB relative information score
132.8973
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1797
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8289
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8269
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.8269
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.361
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3983
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7985
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.6434
UserCPU time millis
620
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
430
Cross-validation details (10-fold Crossvalidation)