This paper presents a method for estimating the average treatment effects (ATE) of an exponential endogenous switching model where coefficients covariates in structural equation are random and correlated with binary variable. The equations derived under some mild identifying assumptions. We find that ATE is identified, although each coefficient may not be. Tests assessing endogeneity selection ...

<span id="docs-internal-guid-2f1ba81b-7fff-8c46-5600-cbb159235091"><span>In the medical field, technology machinery is needed to solve several classification problems. Therefore, this research useful problem of field by using machine learning. This study discusses pancreatic cancer regression logistics and random forest. By comparing accuracy, precision, recall (sensitivity), F1-sco...