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: 79.88%
Accuracy: 85.93%
Recall: 79.11%
F1 Score: 79.49%
ROC AUC Score: 84.32%