Regression in Python

When using classification models in machine learning, there are three common metrics that we use…

Often you may want to extract a summary of a regression model created using scikit-learn…

R-squared, often written R2, is the proportion of the variance in the response variable that can…

A likelihood ratio test compares the goodness of fit of two nested regression models. A…

White’s test is used to determine if heteroscedasticity is present in a regression model. Heteroscedasticity…

We often use three different sum of squares values to measure how well a regression…

Matthews correlation coefficient (MCC) is a metric we can use to assess the performance of…

Balanced accuracy is a metric we can use to assess the performance of a classification…

You can use the following basic syntax to plot a line of best fit in…

One-hot encoding is used to convert categorical variables into a format that can be readily…