Performing regression without AutoML

This chapter will continue the same regression experiment from Chapter 8 that focuses on predicting market values for footballers based on their stats.

We’ll start by bringing in ML.NET, AutoML, and our DataFrame, as well as a number of imports we’ll need in this chapter. We’ll also declare our MLContext and give it a random seed for repeatability:

#r "nuget:Microsoft.ML,3.0.1"
#r "nuget:Microsoft.ML.AutoML,0.21.1"
#r "nuget:Microsoft.Data.Analysis,0.21.1"
using Microsoft.Data.Analysis;
using Microsoft.ML;
using Microsoft.ML.Data;
using Microsoft.ML.AutoML;
using Microsoft.ML.AutoML.CodeGen;
using Microsoft.ML.Trainers;
using Microsoft.ML.Trainers.FastTree;
using Microsoft.ML.Transforms;
using Microsoft.ML.SearchSpace;
using Microsoft.ML.SearchSpace.Option;
using Microsoft.ML.Runtime;
MLContext context = new(seed: 123);

Next, we’ll load up our data into a DataFrame and split it into...