Run
19925

Run 19925

Task 18 (Supervised Classification) mfeat-morphological 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)_I20
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
0.8567
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6798
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6594
Cross-validation details (10-fold Crossvalidation)
KB relative information score
600.3167
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1573
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.6917
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6935
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.6935
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8741
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2652
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8841
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.7662[559.41007791153281013.9200573100866482.5806157404377901.76819969685491761.152276377127]