Table 3.
Accuracies among text classifiers
n=1 | n=1–2 | |
Multinomial naïve Bayes | Housing: 91.62% Tobacco: 70.87% Alcohol: 70.77% |
Housing: 91.43% Tobacco: 77.18% Alcohol: 69.95% |
Support vector machine | Housing: 92.18% Tobacco: 81.08% Alcohol: 76.50% |
Housing: 91.99% Tobacco: 82.88% Alcohol: 81.97% |
Logistic regression | Housing: 84.36% Tobacco: 75.38% Alcohol: 77.60% |
Housing: 90.13% Tobacco: 84.68% Alcohol: 82.79% |
Random forest | Housing: 90.50% Tobacco: 76.28% Alcohol: 71.31% |
Housing: 91.25% Tobacco: 78.98% Alcohol: 75.68% |
Bold values indicates highest performance for each SDBH.