Predicting values with binary classification models

Compared to evaluating model performance or behavior, generating predictions for new rows is relatively straightforward. We’ll start by defining a class to represent each row of data in our training data, including IsLastSeason, our label column.

This is a plain old C# class:

public class PlayerSeason {
    public float YellowCards {get; set;}
    public float RedCards {get; set;}
    public float Goals {get; set;}
    public float Assists {get; set;}
    public float MinutesPlayed {get; set;}
    public float Games {get; set;}
    public string Position {get; set;}
    public float Age {get; set;}
    public float YellowDiff {get; set;}
    public float RedDiff {get; set;}
    public float GoalsDiff ...