A simple example of binary data classification using an ANN. The data used is found in the included Churn_Modeling.csv file. The source code is uploaded as a single Jupyter Notebook (.ipynb) file.

This is called **binary classification** and it is precisely what we will be looking at in today's blog post. In supervised machine learning, we can create models that do the same - assign one of two ...

For example, you might want to predict the sex (male or female) of a person based on their age, annual income and so on. Somewhat surprisingly, binary classification problems require a different set ...

Learn the best practices for visualizing a binary classification model's confusion matrix, such as choosing the metrics, using colors and labels, using plots and charts, using libraries and tools ...

Binary classification is the simplest case for classification problem. In this paper, we proposed a new kernel based regularized multiple criteria linear programs for binary classification. Modeling ...

Example 29.5: GEE for Binary Data with Logit Link Function ... See "Gee Model for Binary Data" in the SAS/STAT Sample Program Library for the complete data set. ... The variables center, treatment, ...