Table 2 Performance of various machine learning prediction models for prediction of the feedback. The random forest significantly outperformed all other prediction methods
From: Machine-learning based routing of callers in an Israeli mental health hotline
Metric | ||
|---|---|---|
algorithm | Balanced accuracy | F1-score |
Random forest | 0.758 | 0.743 |
Decision tree | 0.545 | 0.547 |
Ada-Boost Classifier | 0.368 | 0.366 |
Baseline (agent’s average) | 0.281 | 0.302 |
Logistic Regression | 0.250 | 0.228 |