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: 65.43%
Accuracy: 85.77%
Recall: 90.17%
F1 Score: 75.83%
ROC AUC Score: 87.25%