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Table 16 

Results for our three models on the Norwegian data sets (one consisting of raw documents and the other of generated documents), using continuous classifier outputs. Best result per column in bold, best result per row grouping is underlined.

 FeatureAccuracy (%)
rawgenerated
Baselines Random Baseline 10.0 10.0 
Majority Class Baseline 11.5 13.0 
Single Vector Baseline 48.8 78.6 
Current Best Result n/a 78.6 
  
Oracles Oracle 82.0 94.5 
Accuracy@2 68.1 89.3 
Accuracy@3 76.7 92.5 
  
Ensembles Plurality Voting 51.1 75.7 
Borda Count 50.5 76.7 
Mean Probability 51.5 77.9 
Median Probability 51.0 77.3 
  
Meta-classifier Linear SVM 52.8 78.6 
Logistic Regression 52.5 79.6 
Ridge Regression 51.6 78.6 
LDA 53.3 81.0 
  
Meta-classifier Linear SVM 53.1 78.7 
Bagging Logistic Regression 52.8 80.1 
Ridge Regression 51.9 78.8 
LDA 54.2 81.8 
 FeatureAccuracy (%)
rawgenerated
Baselines Random Baseline 10.0 10.0 
Majority Class Baseline 11.5 13.0 
Single Vector Baseline 48.8 78.6 
Current Best Result n/a 78.6 
  
Oracles Oracle 82.0 94.5 
Accuracy@2 68.1 89.3 
Accuracy@3 76.7 92.5 
  
Ensembles Plurality Voting 51.1 75.7 
Borda Count 50.5 76.7 
Mean Probability 51.5 77.9 
Median Probability 51.0 77.3 
  
Meta-classifier Linear SVM 52.8 78.6 
Logistic Regression 52.5 79.6 
Ridge Regression 51.6 78.6 
LDA 53.3 81.0 
  
Meta-classifier Linear SVM 53.1 78.7 
Bagging Logistic Regression 52.8 80.1 
Ridge Regression 51.9 78.8 
LDA 54.2 81.8 
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