errors

<p>Vector. Predicted value or model's result</p>

score

<p>This function lets the user calculate all errors and R squared
simultaneously.</p>

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Pablo Casas

errors: Calculate Errors

Description

Usage

Arguments

See Also