Details


Model Name:

Monte Carlo

Model Summary:

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.

Model Metrics:
Precision: 80.27%
Accuracy: 87.73%
Recall: 83.2%
F1 Score: 81.71%
ROC AUC Score: 86.58%