Table 3 Performance evaluation of each algorithm.
From: Predicting new crescent moon visibility applying machine learning algorithms
Algorithm | Accuracy (%) | Precision | Recall | F1 score |
|---|---|---|---|---|
Decision tree | 93 | 0.88 | 0.88 | 0.85 |
Random forest | 93 | 0.88 | 0.88 | 0.88 |
SVM | 92 | 0.82 | 0.90 | 0.86 |
Neural network | 92 | 0.85 | 0.90 | 0.86 |
Naïve Bayes | 91 | 0.85 | 0.85 | 0.85 |
Nearest neighbors | 90 | 0.91 | 0.79 | 0.85 |
AdaBoost | 90 | 0.79 | 0.87 | 0.83 |
Logistic regression | 87 | 0.67 | 0.88 | 0.76 |
