Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

In binary logistic regression, data is first analyzed, then the probability of individual events is estimated by observing previous data, and then a binary classification model is created. An ...

Visually, the larger the variance, the "fatter" a probability distribution will be. In finance, if something like an investment has a greater variance, it may be interpreted as more risky or volatile.

Furthermore, performing logistic regression analysis on the data set suggests that respondents who indicated strongly agree are 4.96 times more likely to use Blackboard (Odd Ratio = 4.96), and 1.00 ...

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...

The model is created using Logistic Regression, which is a supervised classification algorithm.