Machine Learning with R Cookbook - Second Edition

How it works...

The summary function is a generic function used to produce summary statistics. In this case, it computes and returns a list of the summary statistics of the fitted linear model. Here, it will output information such as residuals, coefficient standard error R-squared, f-statistic, and a degree of freedom. In the Call section, the function called to generate the fitted model is displayed. In the Residuals section, it provides a quick summary (Min, 1Q, Median, 3Q, Max) of the distribution.

In the Coefficients section, each coefficient is a Gaussian random variable. Within this section, Estimate represents the mean distribution of the variable; Std.Error displays the standard error of the variable; the t value is Estimate divided ...