Skip to main content

Table 3 Performance metrics of each algorithm for predicting happiness

From: Measuring happiness increases happiness

  Happiness
  Accuracy (%) F1-score (%) Combination (%)
Baseline 82.87 76.04 79.46
Decision tree 83.54 82.85 83.20
Gradient boosting 87.42 85.13 86.27
Random forest 88.42 86.18 87.30
SVM 87.42 82.37 84.89
FFNN 64.74 64.74 64.74
LSTM 49.45 47.91 48.68
  1. The best metrics are written in bold