Separate binary regression models When the dependent variable is ordinal, such as here, we can choose to dichotomise it and use binary logistic regression. A variable with three categories can be ...

Model I modelled the early evolution of COVID-19 as a logistic function with 6 parameters: where σ (x,θ) represents the number of positive cases at x -th day after the 24th of February. I exploited ...

Content-based text classification system can automatically categories the text document into predefined limited classes. But the e-mail document classification is a challenging process in the modern ...

This paper proposes a new spatiotemporal chaos model, which is a logistic-dynamic coupled logistic map lattice (LDCML). Through a large number of simulation experiments and theoretical analysis, it ...

Explore Karachi 100 historical data, featuring daily prices, open, high, low, volume, and changes. Analyze trends, all-time highs, historical returns, and more.

Despite the current decline of TB in the general population, the prevalence of TB remains conspicuously higher among inmates. While treatment completion is a key to controlling and preventing drug ...

Multi-Class Classification using One-vs-All Logistic Regression The sample code below illustrates how to run the multi-class classifier on the iris datasets to classifiy the species of each data row: ...

In this paper, we construct multiple soliton solutions of a time-dependent variable-coefficient Korteweg–de Vries equation in the form of bright, dark and singular soliton solutions. Furthermore, the ...