👉 Logship is a type of machine learning algorithm that was developed by researchers at Microsoft Research. It is often used in natural language processing and text classification tasks, such as sentiment analysis, to classify texts into positive, negative or neutral categories based on their content. The core idea behind the Logistic Regression model is to use logit functions (logarithmic transformations) to transform raw scores of a binary classification problem into probabilities. This transformation allows the algorithm to learn from examples in a way that minimizes

logship