Author Archives: jamesdmccaffrey

I was looking at k-NN classification using the scikit library recently. While wading through the scikit documentation, I noticed that scikit has a closely related Radius Neighbors classifier module. When I did my k-NN example, I used the Wheat Seeds … Continue reading →

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the income of a person based on their sex, age, State, and political leaning. (Note: Somewhat confusingly, “logistic … Continue reading →

One of my work laptops died so I tried to reimage it by reinstalling everything, including OS, from the ground up. While that was going on, I decided to entertain myself by doing a k-nearest neighbors (k-NN) classification example using … Continue reading →

The scikit-learn library was originally designed for classical machine learning techniques like logistic regression and naive Bayes classification. The library eventually added the ability to do binary and multi-class classification via the MLPClassifier (multi-layer perceptron) class and regression via the … Continue reading →

The scikit-learn code library has a MultinomialNB class that can be used to create prediction models for multinomial data. The most common form of multinomial data has predictor variables where the values are counts. For example, suppose you want to … Continue reading →

I wrote an article titled “Binary Classification Using a scikit Decision Tree” in the February 2023 edition of Microsoft Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2023/02/21/scikit-decision-tree.aspx. A decision tree is a machine learning technique that can be used for binary classification or … Continue reading →