Optimizing the existing approach

In this section, we will gain an understanding of the basic technicality regarding cross-validation and hyperparameter tuning. Once we understand the basics, it will be quite easy for us to implement them. Let's start with a basic understanding of cross-validation and hyperparameter tuning.

Understanding key concepts to optimize the approach

In this revised iteration, we need to improve the accuracy of the classifier. Here, we will cover the basic concepts first and then move on to the implementation part. So, we will understand two useful concepts:

  • Cross-validation
  • Hyperparameter tuning

Cross-validation

Cross-validation is also referred to as rotation estimation. It is basically used to track a problem called overfitting. ...

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