Run
20656

Run 20656

Task 2075 (Supervised Classification) abalone Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_NaiveBayes(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(1)_C3
weka.MultiBoostAB_NaiveBayes(1)_I10
weka.MultiBoostAB_NaiveBayes(1)_P100
weka.MultiBoostAB_NaiveBayes(1)_S1
weka.MultiBoostAB_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2035
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
893.5299
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0558
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.1961
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2349
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2349
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9031
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1881
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0707
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.906[563.0215449689991007.5581615570936471.35288917392205884.42645472616971738.1710384960516]