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Table 12 

Results for our three models on the EfCamDat data set, using continuous classifier outputs. Best result per column in bold, best result per row grouping is underlined.

 FeatureAccuracy (%)
Baselines Random Baseline 9.1 
Majority Class Baseline 9.1 
Single Vector Baseline 58.5 
Current Best (Malmasi and Dras 2015) 65.0 
  
Oracles Accuracy@2 74.6 
Accuracy@3 82.0 
Oracle 86.8 
  
Ensembles Plurality Voting 58.8 
Borda Count 60.9 
Mean Probability 65.0 
Median Probability 62.2 
  
Meta-classifier Linear SVM 66.8 
Logistic Regression 66.7 
Ridge Regression 66.1 
LDA 67.3 
  
Meta-classifier Linear SVM 67.0 
Bagging Logistic Regression 66.8 
Ridge Regression 66.4 
LDA 67.8 
 FeatureAccuracy (%)
Baselines Random Baseline 9.1 
Majority Class Baseline 9.1 
Single Vector Baseline 58.5 
Current Best (Malmasi and Dras 2015) 65.0 
  
Oracles Accuracy@2 74.6 
Accuracy@3 82.0 
Oracle 86.8 
  
Ensembles Plurality Voting 58.8 
Borda Count 60.9 
Mean Probability 65.0 
Median Probability 62.2 
  
Meta-classifier Linear SVM 66.8 
Logistic Regression 66.7 
Ridge Regression 66.1 
LDA 67.3 
  
Meta-classifier Linear SVM 67.0 
Bagging Logistic Regression 66.8 
Ridge Regression 66.4 
LDA 67.8 
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