Monte Carlo
Monte Carlo methods use random sampling and statistical analysis to approximate complex problems. In the context of prediction, Monte Carlo simulations can be used to estimate the probability of a certain outcome by generating random samples from a given model. Monte Carlo methods are versatile and widely applicable in various domains.
Precision: | 65.43% |
Accuracy: | 85.77% |
Recall: | 90.17% |
F1 Score: | 75.83% |
ROC AUC Score: | 87.25% |