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Table 9 

Results for our ensembles of meta-classifiers applied to Toefl11. Best result per column in bold, best result per row grouping is underlined.

 MethodAccuracy (%)
CVTest
Baselines Random Baseline 9.1 9.1 
Single Vector Baseline 78.2 77.5 
  
2013 Shared Task Winner 84.5 83.0 
Bykh and Meurers (2014) — 84.8 
Ionescu, Popescu, and Cahill (2014) 84.1 85.3 
  
Our LDA Meta-classifier (continuous) 85.2 86.8 
  
Decision Tree Random Forest 84.2 84.6 
Ensembles Extra Trees 81.0 82.7 
AdaBoost 75.3 76.2 
  
Bagging Linear SVM 84.5 85.2 
Logistic Regression 84.4 84.9 
Ridge Regression 84.5 85.2 
LDA 85.3 87.1 
 MethodAccuracy (%)
CVTest
Baselines Random Baseline 9.1 9.1 
Single Vector Baseline 78.2 77.5 
  
2013 Shared Task Winner 84.5 83.0 
Bykh and Meurers (2014) — 84.8 
Ionescu, Popescu, and Cahill (2014) 84.1 85.3 
  
Our LDA Meta-classifier (continuous) 85.2 86.8 
  
Decision Tree Random Forest 84.2 84.6 
Ensembles Extra Trees 81.0 82.7 
AdaBoost 75.3 76.2 
  
Bagging Linear SVM 84.5 85.2 
Logistic Regression 84.4 84.9 
Ridge Regression 84.5 85.2 
LDA 85.3 87.1 
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